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. . . . . . 1 Dynamic Pricing and Inventory Management under Fluctuating Procurement Costs Philip (Renyu) Zhang (Joint work with Guang Xiao and Nan Yang) Olin Business School Washington University in St. Louis June 20, 2014

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. . . . . .

1

Dynamic Pricing and Inventory Managementunder Fluctuating Procurement Costs

Philip (Renyu) Zhang

(Joint work with Guang Xiao and Nan Yang)

Olin Business SchoolWashington University in St. Louis

June 20, 2014

. . . . . .

2

Motivation

Inventory management: To mitigate the demand uncertainty risk.

Current global market: Prices of many commodities are now fluctuatingas much in a single day as they did in a year in the early 1990s (Wigginsand Blas 2008).

. . . . . .

2

Motivation

Inventory management: To mitigate the demand uncertainty risk.

Current global market: Prices of many commodities are now fluctuatingas much in a single day as they did in a year in the early 1990s (Wigginsand Blas 2008).

. . . . . .

2

Motivation

Inventory management: To mitigate the demand uncertainty risk.

Current global market: Prices of many commodities are now fluctuatingas much in a single day as they did in a year in the early 1990s (Wigginsand Blas 2008).

. . . . . .

3

Motivation (Cont’d)

I Dynamic Pricing: Dynamically adjust the sales price in each period.

1. Demand control effect.

2. Risk-pooling effect.

I Dual-Sourcing: spot purchasing + forward-buying.

1. Cost-responsiveness tradeoff: differentiated costs and leadtimes.

2. Portfolio effect among different sourcing channels.

I Goal of our paper: To understand how to coordinate the dynamicpricing and dual-sourcing strategies to hedge against demanduncertainty and procurement cost fluctuation risks.

. . . . . .

3

Motivation (Cont’d)

I Dynamic Pricing: Dynamically adjust the sales price in each period.

1. Demand control effect.

2. Risk-pooling effect.

I Dual-Sourcing: spot purchasing + forward-buying.

1. Cost-responsiveness tradeoff: differentiated costs and leadtimes.

2. Portfolio effect among different sourcing channels.

I Goal of our paper: To understand how to coordinate the dynamicpricing and dual-sourcing strategies to hedge against demanduncertainty and procurement cost fluctuation risks.

. . . . . .

3

Motivation (Cont’d)

I Dynamic Pricing: Dynamically adjust the sales price in each period.

1. Demand control effect.

2. Risk-pooling effect.

I Dual-Sourcing: spot purchasing + forward-buying.

1. Cost-responsiveness tradeoff: differentiated costs and leadtimes.

2. Portfolio effect among different sourcing channels.

I Goal of our paper: To understand how to coordinate the dynamicpricing and dual-sourcing strategies to hedge against demanduncertainty and procurement cost fluctuation risks.

. . . . . .

4

Research Questions

1. What is the impact of procurement cost volatility?

2. How to optimally respond to the cost fluctuation?

3. How does the dual-sourcing flexibility affect the optimal policy?

4. What is the relationship between dynamic pricing and dual-sourcing?

. . . . . .

4

Research Questions

1. What is the impact of procurement cost volatility?

2. How to optimally respond to the cost fluctuation?

3. How does the dual-sourcing flexibility affect the optimal policy?

4. What is the relationship between dynamic pricing and dual-sourcing?

. . . . . .

4

Research Questions

1. What is the impact of procurement cost volatility?

2. How to optimally respond to the cost fluctuation?

3. How does the dual-sourcing flexibility affect the optimal policy?

4. What is the relationship between dynamic pricing and dual-sourcing?

. . . . . .

4

Research Questions

1. What is the impact of procurement cost volatility?

2. How to optimally respond to the cost fluctuation?

3. How does the dual-sourcing flexibility affect the optimal policy?

4. What is the relationship between dynamic pricing and dual-sourcing?

. . . . . .

5

Outline

I Related Literature

I Model

I Impact of Cost Volatility

I Impact of Dual-Sourcing

I Conclusion: Takeaway Insights

. . . . . .

6

Literature Review

I Inventory management under fluctuating costs:I Kalymon (1971),I Berling and Martınez-de-Albeniz (2011),I Chen et al. (2013).

I Joint price&inventory control:I Federgruen and Heching (1999),I Zhou and Chao (2014).

I Our paper: Joint pricing & inventory management under demanduncertainty, cost fluctuation, and dual-sourcing.

. . . . . .

6

Literature Review

I Inventory management under fluctuating costs:I Kalymon (1971),I Berling and Martınez-de-Albeniz (2011),I Chen et al. (2013).

I Joint price&inventory control:I Federgruen and Heching (1999),I Zhou and Chao (2014).

I Our paper: Joint pricing & inventory management under demanduncertainty, cost fluctuation, and dual-sourcing.

. . . . . .

6

Literature Review

I Inventory management under fluctuating costs:I Kalymon (1971),I Berling and Martınez-de-Albeniz (2011),I Chen et al. (2013).

I Joint price&inventory control:I Federgruen and Heching (1999),I Zhou and Chao (2014).

I Our paper: Joint pricing & inventory management under demanduncertainty, cost fluctuation, and dual-sourcing.

. . . . . .

6

Literature Review

I Inventory management under fluctuating costs:I Kalymon (1971),I Berling and Martınez-de-Albeniz (2011),I Chen et al. (2013).

I Joint price&inventory control:I Federgruen and Heching (1999),I Zhou and Chao (2014).

I Our paper: Joint pricing & inventory management under demanduncertainty, cost fluctuation, and dual-sourcing.

. . . . . .

7

Model Formulation: Basics

I A risk-neutral firm modeled as a T−period stochastic inventorysystem, labeled backwards, with discount factor α ∈ (0, 1).

I Maximize the total expected profit over the planning horizon.

I Endogenous pricing.

I Dual-sourcing:I Spot market: immediate delivery, fluctuating cost ct .

I Forward-buying contract: postponed delivery, with unit cost Ft(ct).

. . . . . .

7

Model Formulation: Basics

I A risk-neutral firm modeled as a T−period stochastic inventorysystem, labeled backwards, with discount factor α ∈ (0, 1).

I Maximize the total expected profit over the planning horizon.

I Endogenous pricing.

I Dual-sourcing:I Spot market: immediate delivery, fluctuating cost ct .

I Forward-buying contract: postponed delivery, with unit cost Ft(ct).

. . . . . .

7

Model Formulation: Basics

I A risk-neutral firm modeled as a T−period stochastic inventorysystem, labeled backwards, with discount factor α ∈ (0, 1).

I Maximize the total expected profit over the planning horizon.

I Endogenous pricing.

I Dual-sourcing:I Spot market: immediate delivery, fluctuating cost ct .

I Forward-buying contract: postponed delivery, with unit cost Ft(ct).

. . . . . .

8

Sequence of Events

I The firm reviews inventory It and spot market price ct .

I The firm makes the following decisions:I xt − It ≥ 0: spot-purchasing, delivered immediately;

I qt ≥ 0: forward-buying, delivered at the beginning of the next period;

I pt ∈ [p, p]: sales price in the customer market.

I Demand Dt(pt) realized, revenue collected.

I Net inventory fully carried over to the next period:I Excess inventory fully carried over with unit cost h;

I Unsatisfied demand fully backlogged with unit cost b.

. . . . . .

8

Sequence of Events

I The firm reviews inventory It and spot market price ct .

I The firm makes the following decisions:I xt − It ≥ 0: spot-purchasing, delivered immediately;

I qt ≥ 0: forward-buying, delivered at the beginning of the next period;

I pt ∈ [p, p]: sales price in the customer market.

I Demand Dt(pt) realized, revenue collected.

I Net inventory fully carried over to the next period:I Excess inventory fully carried over with unit cost h;

I Unsatisfied demand fully backlogged with unit cost b.

. . . . . .

8

Sequence of Events

I The firm reviews inventory It and spot market price ct .

I The firm makes the following decisions:I xt − It ≥ 0: spot-purchasing, delivered immediately;

I qt ≥ 0: forward-buying, delivered at the beginning of the next period;

I pt ∈ [p, p]: sales price in the customer market.

I Demand Dt(pt) realized, revenue collected.

I Net inventory fully carried over to the next period:I Excess inventory fully carried over with unit cost h;

I Unsatisfied demand fully backlogged with unit cost b.

. . . . . .

8

Sequence of Events

I The firm reviews inventory It and spot market price ct .

I The firm makes the following decisions:I xt − It ≥ 0: spot-purchasing, delivered immediately;

I qt ≥ 0: forward-buying, delivered at the beginning of the next period;

I pt ∈ [p, p]: sales price in the customer market.

I Demand Dt(pt) realized, revenue collected.

I Net inventory fully carried over to the next period:I Excess inventory fully carried over with unit cost h;

I Unsatisfied demand fully backlogged with unit cost b.

. . . . . .

9

Demand Model

Dt(pt) = d(pt) + ϵt .

I ϵt : independent continuous random variables, with E{ϵt} = 0.

I d(·): strictly decreasing function of pt , with a strictly decreasinginverse p(·) in the expected demand, dt .

I We use dt = d(pt) ∈ [d , d ] as the decision variable.

Assumption 1

R(dt) := p(dt)dt is continuously differentiable and strictly concave.

. . . . . .

9

Demand Model

Dt(pt) = d(pt) + ϵt .

I ϵt : independent continuous random variables, with E{ϵt} = 0.

I d(·): strictly decreasing function of pt , with a strictly decreasinginverse p(·) in the expected demand, dt .

I We use dt = d(pt) ∈ [d , d ] as the decision variable.

Assumption 1

R(dt) := p(dt)dt is continuously differentiable and strictly concave.

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9

Demand Model

Dt(pt) = d(pt) + ϵt .

I ϵt : independent continuous random variables, with E{ϵt} = 0.

I d(·): strictly decreasing function of pt , with a strictly decreasinginverse p(·) in the expected demand, dt .

I We use dt = d(pt) ∈ [d , d ] as the decision variable.

Assumption 1

R(dt) := p(dt)dt is continuously differentiable and strictly concave.

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10

Spot-Market Price Fluctuation

ct−1 = st(ct , ξt).

I ξt : The random perturbation in the cost dynamics.

I st(·, ·) > 0 a.s., and st(ct , ξt) ≥s.d. st(ct , ξt) for any ct > ct .

I µt(ct) := E{st(ct , ξt)} < +∞ is increasing in ct .I Perfect market: µt(ct) = ct/α.

I Examples: GBMs, mean-reverting processes.

I Inventory resale is not allowed: no room for arbitrage.

. . . . . .

10

Spot-Market Price Fluctuation

ct−1 = st(ct , ξt).

I ξt : The random perturbation in the cost dynamics.

I st(·, ·) > 0 a.s., and st(ct , ξt) ≥s.d. st(ct , ξt) for any ct > ct .

I µt(ct) := E{st(ct , ξt)} < +∞ is increasing in ct .I Perfect market: µt(ct) = ct/α.

I Examples: GBMs, mean-reverting processes.

I Inventory resale is not allowed: no room for arbitrage.

. . . . . .

10

Spot-Market Price Fluctuation

ct−1 = st(ct , ξt).

I ξt : The random perturbation in the cost dynamics.

I st(·, ·) > 0 a.s., and st(ct , ξt) ≥s.d. st(ct , ξt) for any ct > ct .

I µt(ct) := E{st(ct , ξt)} < +∞ is increasing in ct .I Perfect market: µt(ct) = ct/α.

I Examples: GBMs, mean-reverting processes.

I Inventory resale is not allowed: no room for arbitrage.

. . . . . .

10

Spot-Market Price Fluctuation

ct−1 = st(ct , ξt).

I ξt : The random perturbation in the cost dynamics.

I st(·, ·) > 0 a.s., and st(ct , ξt) ≥s.d. st(ct , ξt) for any ct > ct .

I µt(ct) := E{st(ct , ξt)} < +∞ is increasing in ct .I Perfect market: µt(ct) = ct/α.

I Examples: GBMs, mean-reverting processes.

I Inventory resale is not allowed: no room for arbitrage.

. . . . . .

10

Spot-Market Price Fluctuation

ct−1 = st(ct , ξt).

I ξt : The random perturbation in the cost dynamics.

I st(·, ·) > 0 a.s., and st(ct , ξt) ≥s.d. st(ct , ξt) for any ct > ct .

I µt(ct) := E{st(ct , ξt)} < +∞ is increasing in ct .I Perfect market: µt(ct) = ct/α.

I Examples: GBMs, mean-reverting processes.

I Inventory resale is not allowed: no room for arbitrage.

. . . . . .

11

Forward-Buying Contract

I To mitigate cost volatility at the expense of responsiveness.

I Forward-buying contract: (ft , qt):I The firm pays ftqt to the supplier in period te ;I The supplier delivers qt to the firm in period te ;I For technical tractability, te = t − 1.

I ft = γct/α.I Effective unit cost: γct .I Perfect market: γ = 1.I In general, ft is determined through bilateral negotiations.I Most results hold for general ft = Ft(ct).

I Focus on the operational effect of forward-buying.I The contract cannot be traded in the derivatives market.

. . . . . .

11

Forward-Buying Contract

I To mitigate cost volatility at the expense of responsiveness.

I Forward-buying contract: (ft , qt):I The firm pays ftqt to the supplier in period te ;I The supplier delivers qt to the firm in period te ;I For technical tractability, te = t − 1.

I ft = γct/α.I Effective unit cost: γct .I Perfect market: γ = 1.I In general, ft is determined through bilateral negotiations.I Most results hold for general ft = Ft(ct).

I Focus on the operational effect of forward-buying.I The contract cannot be traded in the derivatives market.

. . . . . .

11

Forward-Buying Contract

I To mitigate cost volatility at the expense of responsiveness.

I Forward-buying contract: (ft , qt):I The firm pays ftqt to the supplier in period te ;I The supplier delivers qt to the firm in period te ;I For technical tractability, te = t − 1.

I ft = γct/α.I Effective unit cost: γct .I Perfect market: γ = 1.I In general, ft is determined through bilateral negotiations.I Most results hold for general ft = Ft(ct).

I Focus on the operational effect of forward-buying.I The contract cannot be traded in the derivatives market.

. . . . . .

11

Forward-Buying Contract

I To mitigate cost volatility at the expense of responsiveness.

I Forward-buying contract: (ft , qt):I The firm pays ftqt to the supplier in period te ;I The supplier delivers qt to the firm in period te ;I For technical tractability, te = t − 1.

I ft = γct/α.I Effective unit cost: γct .I Perfect market: γ = 1.I In general, ft is determined through bilateral negotiations.I Most results hold for general ft = Ft(ct).

I Focus on the operational effect of forward-buying.I The contract cannot be traded in the derivatives market.

. . . . . .

12

Bellman Equation

Vt(It |ct) =the maximal expected discounted profit in periods t, t − 1, · · · , 1with starting inventory level It and cost ct in period t.

Terminal condition: V0(I0|c0) = 0.

Bellman equation:

Vt(It |ct) =ct It + maxxt≥It ,qt≥0,dt∈[d,d ]

Jt(xt , qt , dt |ct), where

Jt(xt , qt , dt |ct) =− ct It + E{p(dt)Dt − ct(xt − It)− γctqt − h(xt − Dt)+

− b(xt − Dt)− + αVt−1(xt + qt − Dt |st(ct , ξt))}

=R(dt)− ctxt − γctqt + Λ(xt − dt) + Ψt(xt + qt − dt |ct)with Λ(y) =E{−h(y − ϵt)

+ − b(y − ϵt)−},

and Ψt(y |ct) =E{Vt−1(y − ϵt |st(ct , ξt))|ct}.

. . . . . .

12

Bellman Equation

Vt(It |ct) =the maximal expected discounted profit in periods t, t − 1, · · · , 1with starting inventory level It and cost ct in period t.

Terminal condition: V0(I0|c0) = 0.

Bellman equation:

Vt(It |ct) =ct It + maxxt≥It ,qt≥0,dt∈[d,d ]

Jt(xt , qt , dt |ct), where

Jt(xt , qt , dt |ct) =− ct It + E{p(dt)Dt − ct(xt − It)− γctqt − h(xt − Dt)+

− b(xt − Dt)− + αVt−1(xt + qt − Dt |st(ct , ξt))}

=R(dt)− ctxt − γctqt + Λ(xt − dt) + Ψt(xt + qt − dt |ct)with Λ(y) =E{−h(y − ϵt)

+ − b(y − ϵt)−},

and Ψt(y |ct) =E{Vt−1(y − ϵt |st(ct , ξt))|ct}.

. . . . . .

13

Optimal Policy

I (x∗t (It , ct), q∗t (It , ct), d

∗t (It , ct)): the optimal decisions in period t.

I ∆∗t (It , ct) := x∗

t (It , ct)− d∗t (It , ct): the optimal safety stock.

I The cost-dependent order-up-to/pre-order-up-to list-price policy.

I If It ≤ xt(ct), order from both channels and charge a list price.

I If It ∈ [xt(ct), I∗t (ct)], order via the forward-buying contract only and

charge a discounted price.

I If It ≥ I ∗t (ct), order nothing and charge a discounted price.

. . . . . .

13

Optimal Policy

I (x∗t (It , ct), q∗t (It , ct), d

∗t (It , ct)): the optimal decisions in period t.

I ∆∗t (It , ct) := x∗

t (It , ct)− d∗t (It , ct): the optimal safety stock.

I The cost-dependent order-up-to/pre-order-up-to list-price policy.

I If It ≤ xt(ct), order from both channels and charge a list price.

I If It ∈ [xt(ct), I∗t (ct)], order via the forward-buying contract only and

charge a discounted price.

I If It ≥ I ∗t (ct), order nothing and charge a discounted price.

. . . . . .

14

Impact of Cost Volatility

I Higher demand variability −→ lower profit.

I Surprisingly, the prediction is reversed for cost volatility.

Theorem 1

For two procurement cost processes {ct}1t=T and {ct}1t=T , assume thatfor every t = T ,T − 1, · · · , 1, st(ct , ξt) and st(ct , ξt) are concavelyincreasing in ct for any realization of ξt . The following statements hold:

(a) Vt(It |ct) is convexly decreasing in ct , for any It .(b) If {ct}1t=T and {ct}1t=T are identical except that

sτ (cτ , ξτ ) ≥cx sτ (cτ , ξτ ) for some cτ and τ , Vt(It |ct) ≥ Vt(It |ct) foreach (It , ct) and t, where ≥cx refers to larger in convex order, and{Vt(It |ct)}1t=T are the value functions associated with {ct}1t=T .

. . . . . .

14

Impact of Cost Volatility

I Higher demand variability −→ lower profit.

I Surprisingly, the prediction is reversed for cost volatility.

Theorem 1

For two procurement cost processes {ct}1t=T and {ct}1t=T , assume thatfor every t = T ,T − 1, · · · , 1, st(ct , ξt) and st(ct , ξt) are concavelyincreasing in ct for any realization of ξt . The following statements hold:

(a) Vt(It |ct) is convexly decreasing in ct , for any It .(b) If {ct}1t=T and {ct}1t=T are identical except that

sτ (cτ , ξτ ) ≥cx sτ (cτ , ξτ ) for some cτ and τ , Vt(It |ct) ≥ Vt(It |ct) foreach (It , ct) and t, where ≥cx refers to larger in convex order, and{Vt(It |ct)}1t=T are the value functions associated with {ct}1t=T .

. . . . . .

15

Impact of Cost Volatility (Cont’d)

I Higher cost volatility −→ higher profit.

I The fundamental difference between demand and cost risks:I Demand risk: decisions made prior to demand realization.

I Betting on demand uncertainty.

I Cost risk: decisions made posterior to cost realization.

I Responding to cost volatility.

I The impact of decision timing with respect to uncertainty realizationin capacity management and newsvendor network models withresponsive/postponed pricing: Van Mieghem and Dada (1999),Chod and Rudi (2005) and Bish et al. (2012).

. . . . . .

15

Impact of Cost Volatility (Cont’d)

I Higher cost volatility −→ higher profit.

I The fundamental difference between demand and cost risks:I Demand risk: decisions made prior to demand realization.

I Betting on demand uncertainty.

I Cost risk: decisions made posterior to cost realization.

I Responding to cost volatility.

I The impact of decision timing with respect to uncertainty realizationin capacity management and newsvendor network models withresponsive/postponed pricing: Van Mieghem and Dada (1999),Chod and Rudi (2005) and Bish et al. (2012).

. . . . . .

15

Impact of Cost Volatility (Cont’d)

I Higher cost volatility −→ higher profit.

I The fundamental difference between demand and cost risks:I Demand risk: decisions made prior to demand realization.

I Betting on demand uncertainty.

I Cost risk: decisions made posterior to cost realization.

I Responding to cost volatility.

I The impact of decision timing with respect to uncertainty realizationin capacity management and newsvendor network models withresponsive/postponed pricing: Van Mieghem and Dada (1999),Chod and Rudi (2005) and Bish et al. (2012).

. . . . . .

15

Impact of Cost Volatility (Cont’d)

I Higher cost volatility −→ higher profit.

I The fundamental difference between demand and cost risks:I Demand risk: decisions made prior to demand realization.

I Betting on demand uncertainty.

I Cost risk: decisions made posterior to cost realization.

I Responding to cost volatility.

I The impact of decision timing with respect to uncertainty realizationin capacity management and newsvendor network models withresponsive/postponed pricing: Van Mieghem and Dada (1999),Chod and Rudi (2005) and Bish et al. (2012).

. . . . . .

16

Impact of Cost Volatility: Assumptions

I Risk neutrality is necessary for Theorem 1 to hold.

I The concavity of st(ct , ξt) generally can be satisfied (e.g., GBMs,mean-reverting processes).

I When st(ct , ξt) is not concave in ct , the result holds for the majorityof numerical cases (except when the initial cost is low), in particularwhen the initial cost follows the stationary distribution.

. . . . . .

16

Impact of Cost Volatility: Assumptions

I Risk neutrality is necessary for Theorem 1 to hold.

I The concavity of st(ct , ξt) generally can be satisfied (e.g., GBMs,mean-reverting processes).

I When st(ct , ξt) is not concave in ct , the result holds for the majorityof numerical cases (except when the initial cost is low), in particularwhen the initial cost follows the stationary distribution.

. . . . . .

16

Impact of Cost Volatility: Assumptions

I Risk neutrality is necessary for Theorem 1 to hold.

I The concavity of st(ct , ξt) generally can be satisfied (e.g., GBMs,mean-reverting processes).

I When st(ct , ξt) is not concave in ct , the result holds for the majorityof numerical cases (except when the initial cost is low), in particularwhen the initial cost follows the stationary distribution.

. . . . . .

17

Optimal Response to Cost Volatility

I Optimal sales price: d∗t (It , ct) ↓ ct , i.e., p

∗t (It , ct) ↑ ct . The firm

passes (part of) the cost risk to customers.

Jt(xt , qt , dt |ct) =[R(dt)− ctdt ] + [Λ(∆t)− (1− γ)ct∆t ]

+ [Ψt(∆t + qt |ct)− γct(∆t + qt)].

I Three objectives: (a) generating revenue, (b) hedging againstdemand uncertainty, and (c) speculating on future costs.

I Optimal safety-stock and spot-purchasing: ∆t(ct), xt(ct) ↓ ct , ifγ ≤ 1; ∆t(ct) ↑ ct , if γ > 1.

I Optimal forward-buying quantity: generally not monotone in ct .

I Higher future cost trend −→ d∗t (It , ct) ↓, x∗t (It , ct) ↑, ∆∗

t (It , ct) ↑,and q∗t (It , ct) ↑.

. . . . . .

17

Optimal Response to Cost Volatility

I Optimal sales price: d∗t (It , ct) ↓ ct , i.e., p

∗t (It , ct) ↑ ct . The firm

passes (part of) the cost risk to customers.

Jt(xt , qt , dt |ct) =[R(dt)− ctdt ] + [Λ(∆t)− (1− γ)ct∆t ]

+ [Ψt(∆t + qt |ct)− γct(∆t + qt)].

I Three objectives: (a) generating revenue, (b) hedging againstdemand uncertainty, and (c) speculating on future costs.

I Optimal safety-stock and spot-purchasing: ∆t(ct), xt(ct) ↓ ct , ifγ ≤ 1; ∆t(ct) ↑ ct , if γ > 1.

I Optimal forward-buying quantity: generally not monotone in ct .

I Higher future cost trend −→ d∗t (It , ct) ↓, x∗t (It , ct) ↑, ∆∗

t (It , ct) ↑,and q∗t (It , ct) ↑.

. . . . . .

17

Optimal Response to Cost Volatility

I Optimal sales price: d∗t (It , ct) ↓ ct , i.e., p

∗t (It , ct) ↑ ct . The firm

passes (part of) the cost risk to customers.

Jt(xt , qt , dt |ct) =[R(dt)− ctdt ] + [Λ(∆t)− (1− γ)ct∆t ]

+ [Ψt(∆t + qt |ct)− γct(∆t + qt)].

I Three objectives: (a) generating revenue, (b) hedging againstdemand uncertainty, and (c) speculating on future costs.

I Optimal safety-stock and spot-purchasing: ∆t(ct), xt(ct) ↓ ct , ifγ ≤ 1; ∆t(ct) ↑ ct , if γ > 1.

I Optimal forward-buying quantity: generally not monotone in ct .

I Higher future cost trend −→ d∗t (It , ct) ↓, x∗t (It , ct) ↑, ∆∗

t (It , ct) ↑,and q∗t (It , ct) ↑.

. . . . . .

17

Optimal Response to Cost Volatility

I Optimal sales price: d∗t (It , ct) ↓ ct , i.e., p

∗t (It , ct) ↑ ct . The firm

passes (part of) the cost risk to customers.

Jt(xt , qt , dt |ct) =[R(dt)− ctdt ] + [Λ(∆t)− (1− γ)ct∆t ]

+ [Ψt(∆t + qt |ct)− γct(∆t + qt)].

I Three objectives: (a) generating revenue, (b) hedging againstdemand uncertainty, and (c) speculating on future costs.

I Optimal safety-stock and spot-purchasing: ∆t(ct), xt(ct) ↓ ct , ifγ ≤ 1; ∆t(ct) ↑ ct , if γ > 1.

I Optimal forward-buying quantity: generally not monotone in ct .

I Higher future cost trend −→ d∗t (It , ct) ↓, x∗t (It , ct) ↑, ∆∗

t (It , ct) ↑,and q∗t (It , ct) ↑.

. . . . . .

18

Impact of Dual-Sourcing Flexibility

I γ: the cost ratio between forward-buying and spot-purchasing.Lower γ implies higher dual-sourcing flexibility.

I Intuition suggests q∗t (It , ct) ↓ γ.Due to procurement costfluctuation, this may not be true in general:

I γ ↓ −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓.

I q∗t (It , ct) may not be monotone in γ, because lower γ also decreases

the marginal value of inventory in future periods.

I When γ is big enough (γ ≥ sup{αµt(ct)ct

}), the model is reduced toone with sole-sourcing from spot market alone.

I Dual-sourcing −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓ (Zhou and

Chao, 2014).

. . . . . .

18

Impact of Dual-Sourcing Flexibility

I γ: the cost ratio between forward-buying and spot-purchasing.Lower γ implies higher dual-sourcing flexibility.

I Intuition suggests q∗t (It , ct) ↓ γ.

Due to procurement costfluctuation, this may not be true in general:

I γ ↓ −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓.

I q∗t (It , ct) may not be monotone in γ, because lower γ also decreases

the marginal value of inventory in future periods.

I When γ is big enough (γ ≥ sup{αµt(ct)ct

}), the model is reduced toone with sole-sourcing from spot market alone.

I Dual-sourcing −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓ (Zhou and

Chao, 2014).

. . . . . .

18

Impact of Dual-Sourcing Flexibility

I γ: the cost ratio between forward-buying and spot-purchasing.Lower γ implies higher dual-sourcing flexibility.

I Intuition suggests q∗t (It , ct) ↓ γ.Due to procurement costfluctuation, this may not be true in general:

I γ ↓ −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓.

I q∗t (It , ct) may not be monotone in γ, because lower γ also decreases

the marginal value of inventory in future periods.

I When γ is big enough (γ ≥ sup{αµt(ct)ct

}), the model is reduced toone with sole-sourcing from spot market alone.

I Dual-sourcing −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓ (Zhou and

Chao, 2014).

. . . . . .

18

Impact of Dual-Sourcing Flexibility

I γ: the cost ratio between forward-buying and spot-purchasing.Lower γ implies higher dual-sourcing flexibility.

I Intuition suggests q∗t (It , ct) ↓ γ.Due to procurement costfluctuation, this may not be true in general:

I γ ↓ −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓.

I q∗t (It , ct) may not be monotone in γ, because lower γ also decreases

the marginal value of inventory in future periods.

I When γ is big enough (γ ≥ sup{αµt(ct)ct

}), the model is reduced toone with sole-sourcing from spot market alone.

I Dual-sourcing −→ d∗t (It , ct) ↑, x∗

t (It , ct) ↓, ∆∗t (It , ct) ↓ (Zhou and

Chao, 2014).

. . . . . .

19

Value of Dynamic Pricing and Dual-sourcing

I Dynamic pricing and dual-sourcing are strategic complements, i.e.,the application of one strategy increases the value of the other.

I When sourcing from the less responsive forward-buying channel, theflexibility to control demand via pricing becomes more valuable.

I In Zhou and Chao (2014), they are strategic substitutes.

I Compared with Zhou and Chao (2014), cost volatility renders thevalue of dynamic pricing and dual-sourcing significantly higher.

. . . . . .

19

Value of Dynamic Pricing and Dual-sourcing

I Dynamic pricing and dual-sourcing are strategic complements, i.e.,the application of one strategy increases the value of the other.

I When sourcing from the less responsive forward-buying channel, theflexibility to control demand via pricing becomes more valuable.

I In Zhou and Chao (2014), they are strategic substitutes.

I Compared with Zhou and Chao (2014), cost volatility renders thevalue of dynamic pricing and dual-sourcing significantly higher.

. . . . . .

19

Value of Dynamic Pricing and Dual-sourcing

I Dynamic pricing and dual-sourcing are strategic complements, i.e.,the application of one strategy increases the value of the other.

I When sourcing from the less responsive forward-buying channel, theflexibility to control demand via pricing becomes more valuable.

I In Zhou and Chao (2014), they are strategic substitutes.

I Compared with Zhou and Chao (2014), cost volatility renders thevalue of dynamic pricing and dual-sourcing significantly higher.

. . . . . .

20

Conclusion: Takeaway Insights

I A risk-neutral firm benefits from the procurement cost volatility.I Timing of decision making and uncertainty realization.

I Dynamic pricing and dual-sourcing are strategic complements.I Dynamic pricing dampens both demand and cost risks, while

dual-sourcing mitigates the cost risk but intensifies the demand risk.

. . . . . .

20

Conclusion: Takeaway Insights

I A risk-neutral firm benefits from the procurement cost volatility.

I Timing of decision making and uncertainty realization.

I Dynamic pricing and dual-sourcing are strategic complements.I Dynamic pricing dampens both demand and cost risks, while

dual-sourcing mitigates the cost risk but intensifies the demand risk.

. . . . . .

20

Conclusion: Takeaway Insights

I A risk-neutral firm benefits from the procurement cost volatility.I Timing of decision making and uncertainty realization.

I Dynamic pricing and dual-sourcing are strategic complements.I Dynamic pricing dampens both demand and cost risks, while

dual-sourcing mitigates the cost risk but intensifies the demand risk.

. . . . . .

20

Conclusion: Takeaway Insights

I A risk-neutral firm benefits from the procurement cost volatility.I Timing of decision making and uncertainty realization.

I Dynamic pricing and dual-sourcing are strategic complements.

I Dynamic pricing dampens both demand and cost risks, whiledual-sourcing mitigates the cost risk but intensifies the demand risk.

. . . . . .

20

Conclusion: Takeaway Insights

I A risk-neutral firm benefits from the procurement cost volatility.I Timing of decision making and uncertainty realization.

I Dynamic pricing and dual-sourcing are strategic complements.I Dynamic pricing dampens both demand and cost risks, while

dual-sourcing mitigates the cost risk but intensifies the demand risk.

. . . . . .

21

Q&A

Thank you!

Questions?