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KD-A134 945
UNCLASSIFIED
INFORMATION REQUIREMENTS FOR THE VIMS (VEHICLE INTEGRATED MANAGEMENT SVSTEMXU) AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SVSTEMS AND LOGISTICS E T FOX SEP 82 AFIT-LSSR-72-83 F/G 5/1 NL
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INFORMATION REQUIREMENTS FOR THE VIMS
Edward T. Fox, Captain, USAF
LSSR 72-83
s DTIC ELECTE
NOV 281983
DEPARTMENT OF THE AIR FORCE
AIR UNIVERSITY
AIR FORCE INSTITUTE OF TECHNOLOGY
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Wright-Patterson Air Force Base, Ohio
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INFORMATION REQUIREMENTS FOR THE VIMS
Edward T. Fox, Captain, USAF
LSSR 72-83
DISTRI]. (mON STATEMENT A
Approved fci public Teloo.se; Distiibution Unlimited
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The contents of the document are technically accurate, and no sensitive items, detrimental ideas, or deleterious information are contained therein. Furthermore, the views expressed in the document are those of the author(s) and do not necessarily reflect the views of the School of Systems and Logistics, the Air University, the Air Training Command, the United States Air Force, or the Department of Defense.
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REPORT DOCUMENTATION PAGE READ INSTRUCTIONS BEFORE COMPLETING FORM 1. REPORT NUM3ER
LSSR 72-83 2. GOVT ACCESSION NO
£2z£l3±&M£ 3. RECIPIENT'S CATALOG NUMBER
4. TITLE (and Submit)
INFORMATION REQUIREMENTS FOR THE VIMS
5. TYPE OF REPORT * PERlOO COVERED
Master's Thesis S. PERFORMING ORG. REPORT NUMBER
7. AUTHORf«) 8. CONTRACT OR GRANT NUMSER(J)
Edward T. Fox, Captain, USAF 9. PERFORMING ORGANIZATION NAME ANO AOORESS
School of Systems and Logistics Air Force Institute of Technology, WPAFB OH
10. PROGRAM ELEMENT. PROJECT, TASK AREA « WORK UNIT NUMBERS
II. CONTROLLING OFFICE NAME ANO AOORESS
Department of Communication AFIT/LSH, WPAFB OH 45433
12. REPORT OATE
September 1983 13. NUMBER OF PAGES
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16. CISTRlBUTiON STATEMENT (ol this Report)
Approved for public release; distribution unlimited
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18. SUPPLEMENTARY NOTES
jUi Fore» totftatt •« T.«hnolo«T IAT0* Wrtght-Pstt«r»oo W* oa *****
1 5SEP 1983 19. KEY WOROS (Continue on ravaraa aida II necessary and identity by block number)
Structured Interviews Vehicle Integrated Management System (VIMS) Information Requirements Information Analysis Decision Support Systems
20. ABSTRACT 'Continue on ravaraa side II nacaeamry and Identity by block number)
Thesis Chairman: James W. Annesser, Lieutenant Colonel, USAF
DD 1 j*N 71 1473 EDITION OF 1 NOV »5 IS OBSOLE-£ UNCLASSIFIED
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i ^ The Vehicle Integrated Management System (VIMS) processes data inputs and puts out reports to be used by Air Force vehicle fleet managers. The system was designed to give managers information to support their decisions. The problem centers around the fact that the VIMS has not been reevaluated since 1975. In the last eight years there have been changes in the information requirements of decision makers. In addition, there have been tech- nological advances that have been made in the science of information gathering, processing, and reporting. This thesis examines the VIMS in the light of these changes and suggests modifications to bridge the gap between the VIMS outputs and decision makers' information requirements. A five-step process was used involving structured inter- views of decision makers and surveys of VIMS outputs and Air Force regulations. Presented in this effort are the shortfalls of the VIMS and the recommended corrective actions.
UNCLASSIFIED
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This thesis, written by
Captain Edward T. Fox
has been accepted by the undersigned on behalf of the faculty of the School of Systems and Logistics in partial fulfillment of the requirements for the degree of
MASTER OF SCIENCE IN LOGISTICS MANAGEMENT
DATE: 2 8 September 1983
COMMITTEE CHAIRMAN \flU4 j2
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ACKNOWLEDGEMENTS
I thank God for His love and guidance through it
all. I thank my advisor, Lt Col James W. Annesser, who
helped and inspired me. I extend my appreciation to
Maj Ronald H. Rasch for his keen insight and knowledge.
• I give heartfelt gratitude to my typist, Mrs. Phyllis
\> Reynolds, who stuck by me and pushed me forward. Finally,
I extend a special thanks to my wife, Sylvia, who made it
«j all come together with patience, understanding, and love.
111
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TABLE OF CONTENTS
Page
ACKNOWLEDGEMENTS iii
LIST OF TABLES vi
LIST OF FIGURES vii
CHAPTER
I. INTRODUCTION 1
Overview 1 i
Problem Statement 2
Justification 3
Background 3
Research Questions . . 4
II. LITERATURE REVIEW 6
Introduction 6
I Decision Support Systems Described 7
Predesign Analysis 10 •
System Design and Development 15
j Implementation 18
Situational Factors 18
Corrective and/or Preventive Measures . . 19
I Implementation Strategies 2 2
Summary 2 3
iv
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CHAPTER Page
III. METHODOLOGY 24
Decision Support System Development Process . 24
Scope and Limitations 24
IV. ANALYSIS 32
Analysis of Findings 32
Research Question 1 32
Research Question 2 33
Research Question 3 33
Research Question 4 47
Summary 64
V. CONCLUSIONS AND RECOMMENDATIONS 67
Study Conclusions and Recommendations .... 67
Research Question 5 67
Recommendations for Future Study 6 9
SELECTED BIBLIOGRAPHY 71
A. REFERENCES CITED 72
B. RELATED SOURCES 73
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LIST OF TABLES
Table Page
2-1. Tradeoff Variables in User Interface Design . . 16
4-1. VIMS Output Vocabulary Descriptions 34
4-2. Non-VIMS Output Vocabulary Descriptions .... 41
4-3. Decision Table 45
4-4. Information Requirements Matrix 48
4-5. Summary Analysis 65
VI
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LIST OF FIGURES
Figure Page
2-1. The Predesign Cycle 11
3-1. Sample Interview 2 8
3-2. Sample Information Matrix 2 9
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CHAPTER I
INTRODUCTION
Overview
Vehicles are vital to the operation of an Air
Force Base. The Air Force has over 100,000 vehicles in
its inventory (12:4). Without the timely maintenance and
replacement of these vehicles the readiness capability of
the Air Force would be seriously degraded.
The Mission of the Air Force is to "fly and fight";
to do this the Air Force must generate and launch aircraft
to defend U.S. interests worldwide. Air Force units use
vehicles to get men, equipment, and aircraft to the
appointed places at the appointed times. Delays due to
vehicle failures could impose intolerable constraints or
limitations on defense operations. This would ultimately
jeopardize the safety of U.S. world interests. Managing
vehicles for readiness involves keeping vehicles in a safe
and operable condition to meet mission requirements.
Money for vehicle purchases, operation, and main-
tenance is limited. More effective management of vehicle
maintenance, operation, and replacement will equate,
indirectly perhaps—but certainly nevertheless—to increased
readiness per dollar invested. This includes the management
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of scarce petroleum resources. To be effective, managers
must have adequate information. The Vehicle Integrated
Management System (VIMS) is the primary system vehicle
fleet managers use to process and report vehicle data/
information used in managing and maintaining the Air Force
vehicle fleet.
This thesis will reexamine the information require-
ments of decision makers currently using the VIMS to aid
their effective management of the vehicle fleet. By
reexamining the VIMS, it can determine to what extent the
system of vehicle fleet management has evolved beyond the
service the VIMS now provides.
Problem Statement
For an information system to be an effective deci-
sion support tool, it must provide decision makers with the
essential information with which to make decisions. Even
after a system has been built and implemented, it should
undergo reexamination periodically to ensure that the sys-
tem is providing the necessary outputs to support decision
making. The VIMS was last reevaluated in 1975. Given the
technological advances in information gathering, process-
ing, and reporting, the VIMS should be reexamined to deter-
mine if it provides all of the necessary information ele-
ments managers need to make vehicle fleet management
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decisions. If the VIMS has information shortfalls, this
thesis will identify those shortfalls and recommend cor-
rective action.
Justification
An effective vehicle decision support system con-
tributes to Air Force readiness capability and to the
effective and efficient use of vehicle fleet resources.
Improvements in this area can effect more timely sched-
uling of maintenance for vehicles and enhance the quantity
and quality of information managers need to maintain and
operate the vehicle fleet, and manage available resources.
In addition, a dollar savings can be realized by stream-
lining the VIMS and eliminating the collection, processing,
and reporting of unused data.
Background
The VIMS is a set of twenty-seven programs, written
in COmmon Business Oriented Language (COBOL) which performs
as a base level data management system and runs on the B350 0
computer. Both the Transportation and Supply squadrons
process data into the VIMS from their respective operations.
The primary emphasis of the VIMS is to give computer pro-
ducts to managers and users to help in decision making and
allow data review and correction ability (14:p.2-l).
The need for a VIMS was decided at a management
workshop held at Andrews AFB in October 1968. After the
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preliminary assessment and subsequent field testing were
accomplished VIMS was started Air Force-wide in July 1971.
The sponsor of the VIMS is the Vehicle and Equipment
Branch, Transportation Systems Division, Directorate of
Logistics, HQ USAF/LETN, Washington DC 20330 (14:p.l-l).
The primary users are all USAF vehicle maintenance shops
squadrons.
The MITRE Corporation—an outside consultant firm
hired by the Deputy for Command and Management Systems,
Electronic Systems Division, AFSC, Hanscom AFB, Bedford,
Massachusettes—examined the VIMS to "explore possible
alternative techniques for improving the handling of
vehicle maintenance management data [12:abstract]." They
identified strengths and weaknesses and made suggestions
for near-term improvements to include a restructuring of
the VIMS to operate on-line. The Air Force is now testing
the on-line VIMS and plans to implement the system Air
Force-wide if the setup proves beneficial. Since the
MITRE Corporation investigation there may have been changes
in the information requirements of managers that should be
examined.
Research Questions
1. What information does the VIMS provide on
reports now being used by decision makers to manage the
vehicle fleet?
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2. What decisions are made for the management of
the vehicle fleet?
3. What are the information requirements of the
managers making the aforementioned decisions?
4. How does the information needed compare with
the information provided by the VIMS?
5. Should omitted necessary information be added
to the VIMS output?
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To aid in a clearer understanding of DSS, it is
compared and contrasted with management information systems
(MIS). Once the reader's understanding of what DSS is
and how it compares to other systems is established, the
chapter goes deeper into the DSS building process with dis-
cussion covering the topics of predesign considerations,
system design and development, and system implementation.
Decision Support Systems Described
An initial step in attempting to understand DSS is
establishing a definition of the term. According to
Sprague and Carlson, DSS is interactive computer help
to decision makers using data and modeIs to solve unstruc-
tured problems (11:4). The key words are underlined in
the definition. This fundamental definition is shared also
by Robert Thierauf who points out that "decision makers"
include managers and some operating personnel, depending on
the circumstances (13:26). The literature generally
excludes operators as primary users of DSS. Dr. Wagner
refers to DSS as a system that provides "Executive Mind
Support [17:82]." His emphasis is on the executive (indi-
vidual or group) as user of the system. "It is a system
that an executive uses with such intimate rapport that it
seems to become part of his own mind [16:10]." Now an
explanation of the term "unstructured problem" is needed.
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An unstructured or semistructured problem is one
where neither a manager's judgement nor data- about the
situation being assessed are sufficient by themselves for
effective decision making (8:86). In such a circumstance
both data and judgement are necessary to solve the problem.
For example, when preparing a Vehicle Buy proposal manage-
ment must prioritize vehicles from the ones most needed to
the ones least needed. This is done because not all the
vehicles in the age and condition categories to be replaced
can be replaced in a single fiscal year. Therefore, trade-
offs must be considered. The computer can give the age
and condition data (funds available for repair of the
vehicle, fuel efficiency, and other data) necessary to
determine the vehicles eligible to be replaced and provide
data manipulation capability to examine the mission impact
of different proposals. However, the manager must use
judgement to determine where there is the greatest short-
and long-term need for vehicles. No computerized decision
rule is applicable all the time, nor is judgement suffi-
cient.
Another aid to understanding DSS is identifying its
characteristics and contrasting them with its predecessors,
EDP and MIS. Keen declares that DSS challenges the assump-
tions made by EDP/MIS that: computers are useful primarily
for their ability to process data, and to serve as
"standardized information systems [7:33]." Steven L. Alter
8
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explains the differences between EDP and DSS as a being
embodied in the underlying philosophies of the two dis-
ciplines (2:2-3). The basic purpose of EDP is to automate
the retrieval and storage of data to reduce costs, improve
accuracy, and allow quick access to data concerning daily
operations (increased efficiency). The philosophy of DSS
emphasizes increased effectiveness within the organization
as opposed to efficiency.
Sprague and Carlson use a connotational and a theo-
retical approach to pointing out the differences between
the concepts (11:6-10). The connotational view describes
EDP as a data focus entity, while the focus of MIS is on
information, and DSS keys in on the decision with which
the manager is faced. Theoretically, EDP/MIS is geared to
management provision of structured reports required for man-
agement and control of the organization whereas, DSS is
evolving from a "coalescence" of information and opera-
tions research/management science (OR/MS) technologies
through interactive modeling techniques (static, using
graphs and dynamic, using simulations).
Andrew Vazsonyi sums the difference between OR/MS
and DSS by listing four generally accepted (by DSS pro-
ponents) observations:
1. DSS, unlike OR/MS, does not replace decision makers, but supports them: DSS is a mind support system;
2. DSS allows for the introduction of judgement, while OR/MS is normative/prescriptive;
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The first step in the decision analysis is to
monitor the decision process. In this way the DSS builder
can get a feel for the information needs of the decision
maker. Next the key decisions should be identified along
with their associated information elements. The builder
can ascertain information about key decisions three ways
according to Merle Martin (10:21). They are observing
decision activities, interviewing decision makers, and
deducing how the decision is made. All three methods are
necessary because no one method provides all the informa-
tion necessary under normal circumstances.
The third step in the process is to define the deci-
sion process as it should be—the normative model. The
normative model is a proposal for change; it defines the
range of potential designs for the DSS (8:174). The fourth
step in the decision analysis is a comparison of the norma-
tive with the descriptive model—decision process as it is.
The descriptive model provides a starting point from which
to launch improvement efforts. Finally, the builder selects
areas he/she thinks are supportable.
Under the "Entry" side of Figure 2-1 there are four
areas which should be examined before moving on. The first
of the four involves finding out how much of the organiza-
tion's resources are committed to making an improvement in
the decision process. It means uncovering the organiza-
tional motives and expectations for change and then
12
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building the momentum to implement the agreed-upon
a, changes. The second area for examination is ensuring
K'-\ the right problem is being worked. In other words, is
what the builder doing in line with organizational objec-
tives.
The objectives of the DSS must also be compared to
organizational needs. Sprague and Carlson review six
objectives of a DSS that fit combinations of problems that
DSS can help resolve (11:94-96). Those objectives are:
1. To support difficult, underspecified decisions
j as well as structured well specified decisions.
2. To support decisions at all Levels in the
organization, whether they be strategic planning, manage-
I ment control, operational control, or operational perform-
ance .
3. To support communication between decision
I makers when there is that requirement. Decisions can be
independent (when one decision maker makes the final deci-
sion) , sequential interdependent (a decision maker makes a
S partial decision and passes it on to the next decision
maker), or pooled interdependent (a decision through nego-
.; tiation) .
I 4. To support all phases of the decision-making
process and promote interaction among phases. These
phases include intelligence (searching the environment
H for potential problems), design (developing and analyzing
13
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courses of action), and choice (choosing and implementing
a course of action).
5. To support decision making with a menu of
different processes to be selected at the user's choice.
6. To be flexible to respond to the user's
changing needs and easy to use.
The third area of consideration is determining what
resources are available for the change versus what
resources are needed and coming to a satisfactory compro-
mise. Fourth and finally, the design alternatives should
be examined to find the one most suitable. At this time
also, goals should be further operationalized, a cost to
benefit analysis should be calculated, and key issues and
limiting factors on implementation should be identified and
resolved to the extent possible.
A word of caution is necessary here. In this early
stage of development the cost to benefit analysis may be
very inaccurate because of "the lack of specific require-
ments, the uncertainty of needed manpower requirements, and
the inability to estimate intangibles [9:20]." For this
reason, Keim and Janaro recommend a cost-benefit analysis
at each step of the design process (9:20).
With the completion of the preliminary considera-
tions, the organization is now ready to move on to the
design and development stage.
14
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System Design and Development
The design of the system includes all the system
components necessary to meet the objectives enumerated in
the predesign cycle. However, there is a special emphasis
placed o.i the user interface since unless the system is
effectively manipulated by the user it is rendered useless.
Table 2-1, taken from Eric Carlson's article (4:Table 4.1),
lists the variables under consideration when trying to
design the user interface to the system.
These tradeoff variables make it possible to meet
DSS objectives within the constraints of user style and
available funds and technology. Consider the user whose
familiarity with the computer is low, his/her control
style is hands-on, and his/her desire is to minimize the
amount of training necessary for working with the computer.
Based on the user's strengths and limitations, the hardware
output media selected may be line-at-a-time to allow the
user to examine the data at his/her own pace. The input
media may be a voice recognition device to avoid the user
having to use a keyboard or pointing device. The software
package might use prompts (questions to guide the user
through the process) or menus (list of packages/routines
available) to guide the user painlessly through simple
subroutine calls. Another variable is the type of deci-
sion.
15
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DSS fall into two categories to match the type of
decision under consideration. According to John J. Donovan
and Stuart E. Madnick (5:79), the categories are institu-
tional, which deals with recurring decisions and ad hoc,
which d \s with specific problems that are neither recur-
ring nor anticipated. These two types of DSS have differ-
ent computational needs. For example, if the decision is
institutional then it is possible to build a DSS specifi-
cally for the particular decision under consideration.
The annual vehicle buy in transportation is an institutional
decision that can be the focus of a DSS design. If the
decision is ad hoc the design of the DSS must provide for
a wide variety of potential applications. In a wartime
scenario the number of vehicles needed to support a base
may change drastically. Because the situation has
occurred infrequently, the decision maker may need the
ability to simulate war conditions under different assump-
tions to determine the number of vehicles needed.
The last variable in the table deals with number
of participants. If the number of participants is several
or the user (s) change frequently, then it might be cost-
effective to gear the DSS to a class of user rather than a
single (or a few) decision maker(s) (18:38). This possi-
bility is especially significant for Air Force applications,
since military decision makers seldom remain at a position
for more than three or four years.
17
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The designer's job is to gather information about
flj the decision setting and the user. He/She should analyze
the decision process and build a model to use in the design
of the DSS (1:1311).
Implementation
Implementation, or the lack thereof, has posed
significant problems for DSS builders (2:123). This por-
tion of the literature review will list some of the situa-
tional factors that impede and that enhance implementation.
Next, it will examine some of the actions to be taken in
response to these factors. And finally, the review will
describe strategies to deal with risk impediments and their
consequences.
-A Situational Factors
There are eight "risk factors" according to Steven
Alter (2:157) that can affect the implementation process:
(1) nonexistent or unwilling users; (2) multiple users
or implementers; (3) disappearing users, implementers, or
maintainers; (4) inability to specify purpose or usage in
advance; (5) inability to predict and cushion impact on
parties involved; (6) lack of loss of support; (7) lack of
prior experience with similar systems; and (8) technical
problems and cost-effectiveness issues. The risk of failure
in the implementation phase is lessened to the degree these
risk factors are missing from the situation. The presence
18
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military might experience similar problems due to the
transient nature of its personnel. Once a project is
started it is advisable to tailor it to the general user
rather than the specific individual(s) present during its
development. Also, there should probably be some overlap
for new personnel to learn from those who are experienced
with the development process.
Empirical studies show that systems are developed
sometimes without a clear notion of how they will be used
(2:163). This is usually the result of overoptimism on
the part of the system designer with regard to the willing-
ness and/or ability of the user (2:132). The key here is
to explain capabilities of the proposed system to the user
and solicit user feedback on the intended use and usage
patterns of the systems. While it is difficult to predict
usage patterns accurately all the time, training the user
on the capabilities of the system will help to familiarize
the user with the system.
Individuals other than users, implementers, and
maintainers must be prepared for their role in the process.
Atler calls these individuals "feeders." They provide the
data to the system (2:163). These individuals frequently
are unwilling to work or change their work patterns without
receiving some benefit. This problem is one which hampered
the development of the VIMS. Wnen VIMS came onboard,
mileage data was collected by the vehicle operator who
20
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commonly knew little or nothing of the VIMS and the impor-
tance of his/her role as data recorder-collector. As a
result, many of these "feeders" to the system often turned
in erroneous data and sometimes turned in none at all. To
eradicate that problem, the Air Force went to the mileage
estimator concept now used to estimate the mileage a
vehicle travels based on its fuel consumption and miles
per gallon data. Here as before, training and involvement
may prevent feeder personnel from feeling left out or
annoyed. Alter suggests that some benefit should be
derived by individuals who play a feeder role—he admits
though, that this is not always achieved in practice
(2:164).
Lack of support can stagnate the existence of a
system. The typical situation in the studies conducted
revealed lack of budget to run the system or lack of man-
agement zeal to use the system properly as the culprits.
The result was system death or disuse (2:Figure 28). The
cure can be effected by funneling money into the system
for training and operating costs.
Inexperience on the part of users or implementers
will also stymie progress. Systems where users or imple-
menters were unfamiliar with the particulars of the system
effort resulted in disuse or misuse by the user and con-
ceptual and technical design problems on the part of the
implementer. Training and communication can help lessen
21
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problems associated with a new system effort. However, a
learning curve is involved and one muse expect to encounter
stumbling blocks.
Finally, technical problems (which are viewed also
as cost-effectiveness issues) can hamper system develop-
ment (2:165). These problems can be resolved with the
development of redundant systems, more programming work,
better software, larger computers and other things which
can be resolved by an expanded budget.
Implementation Strategies
Implementation strategy should be geared to adapt to
situational changes.
Strategies for DSS design and implementation must attempt to articulate both particular decision activi- ties that can best be supported now as well as new, more effective decision actions that may evolve [1:1309].
The strategy described is called an "evolutionary strategy
[1:1312]." It involves the management of continual change
and adjusting through a series of stages. The user is
intimately involved in the development of the system. The
system itself is developed through an iterative process
where implementer/user interaction plays the key role.
This evolutionary strategy attempts to create a mutual exchange of information about (1) the user and [implementer's] potential skills and knowledge base that might be appropriate for solving the problem, (2) potential solutions, and (3) personal critiques of these solutions. The approach hopes to utilize an interative user/[implementer] learning process as means to generate a more appropriate definition of system rquirements [1:1311].
22
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A prototype is the product of this "learning process."
Building a prototype lets the user get first-hand knowledge
of system capabilities and allows the implementer to get
feedback on the new concept before implementing an entire
system (2:Figure 29). Even after the "final" system is in
place its development throughout the life of the system
should be a major concern of the organization.
Summary
The whole DSS concept can be summed in a few words:
computer-based support for management decision making. The
philosophy too, can oe stated succinctly: computers can do
more than store and retrieve data. They can be useful aids
to allow decision makers the latitude to model, optimize,
and simulate.
To develop this aid to decision making, predesign
analysis should be undertaken to see if a DSS is needed
and to what extent the organization is ready, willing, and
able to take on the task of developing the needed system.
Next, the design and development phase should develop the
system components necessary to meet the needs outlined in
the predesign phase. Finally, the implementation of the
system should evolve over time to meet the changing needs
of the user. The system should undergo continuous growth
strategies to keep it current with the latest technological
advances as well as the expanding and changing needs of the
organization.
23
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p^B^ip«*»i^—•—•—•—•——r-—• v- -—i—r——*
CHAPTER III
METHODOLOGY
Decision Support System Development Process
This thesis identifies information needs not cur-
rently being met by the VIMS and recommends either their
inclusion into the VIMS, or their continued omission from
the system. The role of the VIMS (explained in Chapter I)
is to support management decisions. The computer DSS sup-
ports the manager by providing the information about the
situation and the ability to manipulate that information.
The better the information the more effective the decision
will be in accomplishing the desired objective.
Scope and Limitations
This effort confines itself to the determination
of the decisions—for which the VIMS could or does provide
at least one information element--and associated informa-
tion requirements of the contractor-operated and maintained
vehicle fleet at Wright-Patterson Air Force Base. The
process, as it is developed in this thesis, involves five
steps:
1. Identify the information the VIMS provides
on reports now being used by decision makers to aid their
;^ decision-making process.
24
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2. Identify the decisions made for the management
of the vehicle fleet.
3. Determine the information requirements of the
managers making the aforementioned decisions.
4. Compare and contrast the information needed
with the information provided by the VIMS reports being
used currently.
5. Examine the potential for including omitted
necessary information into the VIMS output and identifying
unused information from the reports as needing further
investigation to determine if the elements are used at any
level of the decision-making process.
The first step in the process involved identifying
the information available to decision makers via the VIMS.
The second step involved structured interviews of
managers to identify the tasks they performed and decisions
associated with each of those tasks. When managers dis-
played an inability to respond, they were prompted with an
example (e.g., "If you were tasked to dispatch vehicles
and you received a telephone request for a vehicle you
would have to decide whether or not to respond to the call,
what vehicle to send, and which driver to send?). Prompt-
ing helped the respondent to understand the question and
formulate an appropriate answer.
In the third step, decision makers were further
questioned about their information requirements for each
25
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decision they made. Here too, managers were prompted when
they did not know how to respond. Returning to the dis-
patch example in step two, the prompting followed "long
these lines: before you could send a vehicle to a caller
yoa would need to know if he/she qualified for government
transportation, the caller's location, destination, and
time of pick up. After the decision maker listed the
information needed for a decision, he (there were no female
respondents) was asked about any apparent oversights. In
the dispatch example for instance, if the respondent over-
looked the decision to send a driver or the need for infor-
mation identifying the caller's location, he was asked
specifically about the oversight. In addition, the decision
maker, when applicable, was questioned about the need for
an analytic or forecasting model on the VIMS. In each
case the decision maker was first told how a model might
work and told where in the decision-making process such a
model might be used beneficially. Finally, the decision
maker was asked to identify the sources of the information
he used. If the source was non-VIMS and VIMS provided the
same information, he was asked why he chose not to use the
VIMS output.
Steps one through three were combined in the inter-
views of all decision makers using the VIMS as a decision
aid and those who could feasibly do so. After the inter-
viewer was identified and the goal and intended benefit of
26
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the research was explained, each interviewee was questioned
• in accordance with the format shown in Figure 3-1.
The fourth step involved a research design that
identifies the decision, the decision maker and the informa-
i tion needed. The information was divided into five cate-
gories identified by an information status code:
1 = Information needed and provided by the VIMS;
I 2 = Information needed and provided by a source
other than the VIMS;
3 = Information needed but presently unavailable;
* 4 = Information provided by the VIMS but not used
•; for the decision; and
Blank space • Information neither needed nor
| provided.
The format is a matrix that identifies the decisions and
decision makers across the top and the information elements
] along the side (see Figure 3-2). The numbers 1 through 4
or a blank space--corresponding to the information status
code—were entered into each block according to the status
>• of the information element corresponding to the appropriate
decision. For example, if information element "U" is
needed for decision reporting contractor VOC rate to Con-
• tracting (Al) and is provided by the VIMS, then a "1" was
entered into the box under reporting contractor VOC rate to
Contracting (Al) beside "U" as shown in Figure 3-2.
27
-
• •'«•••'••
m
..-;• Hello, I'm Captain Fox from AFIT. I'm here to find out what information you need to help you make deci-
si sions associated with your job. The information you give 'v me will go into a thesis effort to help persuade Air Force
decision makers to furnish all of the information you % think necessary to aid you in accomplishing your routine
and special tasks. I'm going to ask you several questions that I'd like for you to answer as candidly as possible.
May I record this interview?
• Name
•
9
'•
s-C" Position
What do you do; what activities are you responsible for?
?• What decisions do you make in the performance of your duties?
Now let's look at each decision separately.
Decision
- What information do you currently use to aid you in making this decision and £rom where does it come?
- What further information could you'use if it was avail- able? i
/.• - If forecasting is implied, ask if a forecasting tool !-;" would be useful.
- Is there anything that pertains to information require- ments for this decision that I may have missed?
Fig. 3-1. Sample Interview
28
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Information Decision Elements 12123 12345
U 1 V
W
X
Y
X
Fig. 3-2. Sample Information Matrix
The fifth and final step of the process examined
ways to get managers and supervisors the information they
need for decision making via the VIMS. It suggested the
omission of unnecessary information and the inclusion of
necessary information that is not now provided in VIMS
reports.
Some DSS and MIS experts are critical of personal
interviews as the way to determine information requirements.
Merle Martin (10:14) suggests that managers too often don't
know the information they require to make decisions. To
get around that obstacle he recommends taking a more struc-
tured approach to the problem. He explains the System
Dynamics model as one such approach. "The purpose of this
model is a structured search for pertinent decisions and
the information required to drive these decisions [10:15]."
29
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1 I ;..• Martin goes on to add that there is a great deal of
literature that recommends the interview approach.
k; The methodology of this research followed the
latter approach; it presupposed that VIMS users could best
identify their information requirements. Burch, Strater,
and Grudnitski confirm the validity of this approach:
"Information requirements can best be stated by the users
of the information [3:252]." They hasten to add, however,
that the systems analyst must help users determine their
requirements.
Most individuals are guided in formulating their needs by arbitrary and often antiquated notions of what they "think" can be provided. The analyst's func- tion, then, is to remove or expand these attitudes so that the real information requirements can be obtained [3:252].
Following the suggested pattern, interviewees were
questioned about possible needs for forecasting techniques
and analytical models in certain decision areas. For
example, Priority Buy proposals take hours to calculate by
hand. After the initial calculation, if the approving
authority makes minor changes, it could take hours to
recalculate the proposal. However, if an analytical model
of the Priority Buy decisions rules were developed, the
computer could calculate and recalculate the proposal in
seconds, error free.
The result of this project should give a clearer
understanding to the reader of the information requirements
30
• • - • .
-
^^•^
on the part of the decision makers now using the VIMS in
the contractor-operated vehicle sections of the 2750th
Transportation Branch at Wright-Patterson Air Force Base,
Ohio. Moreover, it should lead to changes in the informa-
tion the VIMS provides its users so that reports are
tailored to user needs. Finally, it may provide the
impetus for future research in the area of information
requirements for VIMS at other bases.
31
-
——«—«•• «.»-*.'
r \'
CHAPTER IV
ANALYSIS
Analysis of Findings
This chapter examines the findings of the study.
In the following chapter these findings serve as the focal
point for drawing conclusions and making recommendations
for system modifications and future studies.
Research Question 1
Of the thirty-three VIMS outputs, eleven are for
use by Maintenance Control and Analysis (MC/A) to edit or
update VIMS files. Of the remaining twenty-two outputs,
only five are used as decision aids by the decision makers
interviewed in this study. These five reports include the
following:
1. Vehicle Out of Commission (VOC) Report—tells
the quality assurance evaluators (QAE) how the contractor's
VOC rate compares with the allowable quality level (AQL)
the Vehicle Maintenance Section has contracted to comply
with;
2. Work Order Master File Status Report—shows
all work orders (w/o) on the master file in numerical
sequence;
32
1
-
M*
3. Vehicle Master List—sequenced by management
code (List A) and assigned organization (List B). Shows
static and dynamic data for all vehicles for which vehicle
maintenance has primary responsibility.
4. Scheduled Maintenance Report (Shop Copy)—
prints only vehicles overdue scheduled maintenance miles/
hours/kilometers and dates, and those coming due.
5. Vehicle Static Maintenance Data List—made up
upon request to print a specific vehicle's or all vehicles'
static data.
Explanations of the output vocabulary used in the five
reports (14:pp.4-78,4-79,4-84,4-85,4-87 to 4-89,7-9,7-10)
are shown in Table 4-1. Table 4-2 explains the information
elements obtained from other-than-VIMS sources.
Research Question 2
The information elements in Table 4-1 and Table
4-2, from the VIMS and non-VIMS sources, are used to make
decisions concerning the base vehicle fleet. The decision
makers and the decisions they made that lend themselves to
being supported by the VIMS are depicted in Table 4-3.
Research Question 3
There are three categories of information needed
by managers; the first is provided by the VIMS; the second
is supplied by non-VIMS sources; and the final set of infor-
mation is that information which is to date unavailable.
33
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All of the information elements previously dis-
cussed and the decisions of the specific decision makers
compiled in Tables 4-1 through 4-3 are combined in
Table 4-4 to show the information necessary for each deci-
sion as stated by the decision maker. The information will
be divided into five categories identified by an informa-
tion status code:
1 = Information needed and provided by the VIMS;
2 = Information needed and provided by a source
other than the VIMS;
3 = Information needed but presently unavailable;
4 = Information provided by the VIMS but not used
for the decision; and
Blank space = Information neither needed nor
provided.
These status codes are placed in the blocks corresponding
to the decisions and information elements to which they
make reference. The results of the study are summarized
in Table 4-4. From these summarized results we can draw
conclusions about the adequacy of the VIMS support for each
decision.
Research Question 4
The analysis follows each information element (or
group of elements if similar status codes apply to more than
one element) and the associated status codes for each deci-
sion.
47
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The first group of information elements are used
by the individual decision makers every time they are pro-
vided by the VIMS (status code "1"). The following infor-
mation elements are used in amending the Work Order Master
File Status Report (A2), amending the Work Order Master
File status Report (Bl), and establishing maintenance
priorities for vehicles entering the shop (Cl):
1. Work Center
2. Date/Time Rec'd
3. Date/Time Rel'd
4. Date Delayed
5. Work Order Status
6. W/0 Indicator
These element should remain as they are.
The next set of information elements within the
first group, are used in establishing maintenance priori-
ties for vehicles entering the shop (Cl) and calling
users to schedule vehicle inspections (C3), or in calling
users to schedule vehicle inspections (C3) only (6, 7, and
8) :
1. Safety Due
2. Sch/LOF Due
3 Special -1 Due
4. Special -2 Due
5. Special -3 Due
54
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6. Week Due
7. In-Shop
8. Odometer M/H/K
These too, should be left as they are.
The second group of elements are obtained from
non-VIMS sources for certain decisions even though they are
provided by the VIMS (status code "2"). The first set in
this second group are used in temporarily redistributing
manpower (C2):
1. VOC Hrs
2. Available Hrs
3. VOC%
The Vehicle Maintenance Analyst, in this instance, needs
current information and the VIMS product is, at least,
twenty-four hours old. Therefore, he keeps a manual record
of the three information elements and updates them as fre-
quently as necessary. An on-line/real-time VIMS would
resolve the problem by allowing the decision maker to
update the VIMS output as often as required eliminating
£#, the need for a separate tally.
The second set of the second information group
contains a single element: Asg Org. It is used in estab-
lishing maintenance priorities for vehicles entering the
shop (Cl). The Vehicle Maintenance Analyst has a wall
chart displaying every vehicle in the fleet, by registra-
tion number, and the organization to which it is assigned.
55
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Because the wall chart is easier to use than a VIMS
report, the chart is probably the source to use. This
requires no adjustment to the VIMS since every other time
where "Asg Org" is provided, it is used.
The third group of information elements are those
needed elements which are not provided by the VIMS and are
obtained from other sources. "Nomenclature," "Manu-
facturer," and "Serial Number" are used in recommending
vehicle disposition to the VAUB (Dl) and recommending
to the VAUB the organization to receive a new vehicle
(D2) . All of these elements (in addition to others) are
provided by the VAL, a Supply Squadron computer output.
It seems practical to add these to the VIMS to preclude
the necessity of using more than one report each for the
aforementioned decisions.
Another element of group three elements is "Org
Priority," used in recommending vehicle disposition to
the VAUB (Dl), recommending to the VAUB the organization
to receive a new vehicle (D2), establishing maintenance
priorities for vehicles entering the shop (Cl), and pulling
an organization's vehicle(s) (E3). An organization's
priority is not likely to change and is simple to enter
into the VIMS. As a result, it should be entered in