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Revenue and Cost Sharing Mechanism for  Effective Remanufacturing Supply Chain

Tatsuya Inaba

Kanagawa Institute of Technology, Japan

Auto‐ID Labs. Japan

(2)

Tatsuya Inaba

Kanagawa Institute of Technology, Japan Auto-ID Labs. Japan

Revenue and Cost Sharing Mechanism for

Effective Remanufacturing Supply Chain

(3)

Outline

• Background

• Remanufacturing process

• Problem in remanufacturing supply chain

• Proposal

• Evaluation

• Conclusion

(4)

Background

• Sustainability, a new key word in business

– Company’s long-term success

• Required to deal with social and environmental issues

– Sustainable Supply Chain Management (SSCM)

• To all members of SCM

• Remanufacturing as a means of SSCM

– Effective in reducing waste products

– Efficient compared to making a new product

(5)

Remanufacturing process

• Remanufacturing process

– Forward supply chain

• Supplier  Manufacturer  Retailer  End user

– Remanufactured product supply chain

• End user  Collector  Manufacturer  Retailer  End user

Supplier Manufacturer Retailer End user

Collector

Retailer End user

(Retailer)

(6)

Problem in remanufacturing supply chain

• Problem in remanufacturing supply chain

– Uncertainty exists in both used product collection and remanufactured product sales

– Leading party’s optimal quantity is too many for the other party

• Possibility of falling into a local optimum

Customer of 

remanufactured products

Prefers a high transfer  price to increase 

expected profit

Provider of used  products

Prefers a low transfer  price to increase 

expected profit

End user

Retailer Manufacturer

Transfer price

End user

Uncertainty in sales demand

Uncertainty in collection demand

Transfer price is important to decide optimal  quantity to sell/buy.

Need a mechanism to decide a transfer price to realize global optimal 

Need a mechanism to decide a transfer price to realize global optimal 

(7)

Proposal

• Assumption

– Two party supply chain: Retailer and Manufacturer – Leading party decides its preferable transfer price

– Penalty is charged when the retailer cannot collect committed number of used products

• Proposal: Revenue and cost sharing mechanism

– In a retailer leader case:

• Retailer lowers the transfer price than their optimal level to increase purchase quantify by manufacturer

• Revenue of the remanufactured product sales is shared afterword – In a manufacturer leader case:

• Manufacturer raises the transfer price than their optimal level to increase collection quantity by retailer

• Cost of the remanufactured product sales is shared afterward

(8)

Evaluation

• Feasibility check of the proposal

– Whether transfer price change increases profit

• Retailer leader case: Lowered transfer price

• Manufacturer leader case: Raised transfer price

– Whether feasible transfer price range exists

• Propose feasible transfer price range

• Numerical example

– Using a hypothetical scenario

(9)

Model and notation

p: The unit sales price of the remanufactured product

s: The unit salvage price of the remanufactured product

t: The unit price of the used product agreed between remanufacturer and retailer (transfer price)

r: The unit price of the used product paid to the end user

c: The unit cost incurred when collecting the used product

m: The unit cost incurred when products are remanufactured

w: The unit penalty cost imposed to the retailer when the number of collected used products is smaller than the agreed number.

x: Non-negative continuous demand of used product collection

f: Probability density function of x F: CDF of f

y: Non-negative continuous demand of remanufactured product sales

g: Probability densify function of y G: CDF of g

q: The number of used product transferred from the retailer to the remanufacturer

EPR

R

: The expected profit of the retailer

EPR

M

: The expected profit of the remanufacturer EPR

C

: The expected profit of the channel

y q x

t r

p m c

Customer of  remanufactured products

End user

Provider of  used products

End user

Retailer Manufacturer

(10)

Feasibility of proposal in a retailer leader case

• Check if expected profit increase by the proposal

– Formulate manufacturer’s optimal procurement quantity (q

m

*) in a retailer deciding transfer price (t

r

)

– Formulate manufacturer’s procurement quantity (q

m

*’) in a lowered transfer price (t

r

’)

– Prove q

m

* < q

m

*’ under t

r

’ < t

r

• G() is monotonically increasing function

G()

q

m

By lowering the transfer price, both parties 

can expect higher profits

(11)

Feasibility of proposal

in a manufacturer leader case

• Check if expected profit increase by the proposal

– Formulate retailer’s optimal procurement quantity (q

r

*) in a manufacturer deciding transfer price (t

m

)

– Formulate retailer’s procurement quantity (q

r

*’) in a raised transfer price (t

m

’)

– Prove q

r

* < q

r

*’ under t

m

< t

m

• F() is monotonically increasing function

F()

q

m

By raising the transfer price, both parties can 

expect higher profits

(12)

Feasibility of proposal range of transfer price

• Condition of feasible transfer price in both cases

– Both q

m

*’ and q

r

*’ must be lower than global optimal quantity (q

c

*)

F()

q

When a transfer price can be decided to meet 

inequalities above, our proposal has feasible solution. 

(13)

Evaluation by numerical example

• Parameters

– F(), G(): Normal distribution N(1200, 400 2 )

– p = 300, m = 50, s = 100, c = 20, r = 80, ω = 100

(14)

Retailer leader case

• Feasible transfer price range

Transfer price 190 200 210 220 230

EPR

C

124,700 120,300 114,800 107,400 96,600

EPR

M

42,400 33,300 24,800 16,900 9,700

EPR

R

82,300 87,000 90,000 90,600 86,900

Transfer price 190 200 210 220 230

EPR

C

124,357 120,241 114,786 107,607 96,653

EPR

M

31,572 24,906 18,518 12,778 7,347

EPR

R

92,775 95,335 96,268 94,829 89,306

Expected profit without proposal

Expected profit with proposal (Revenue is shared 20%)

Transfer price  ≧ 168.61

(15)

Manufacturer leader case

• Feasible transfer price range

Transfer price 110 120 130 140 150

EPR

C

94,200 110,400 118,600 123,400 126,600

EPR

M

89,900 94,800 93,000 87,300 79,600

EPR

R

6,500 15,600 25,600 36,100 47,000

Transfer price 110 120 130 140 150

EPR

C

94,153 110,084 118,416 123,147 126,567

EPR

M

105,194 113,439 111,450 104,450 95,535

EPR

R

-11,041 -3,355 6,966 18,697 31,032

Expected profit without proposal

Expected profit with proposal (Cost is shared 20%)

Transfer price  ≦ 168.61

(16)

Conclusion

• Propose a sharing mechanism to increase expected profit in remanufacturing process

– Both sales and collection demand are uncertain – Retailer leader case: Revenue sharing

– Manufacturer leader case: Cost sharing

• Future research

– Analytical solution

– Guideline for sharing percentage

(17)

References

1. A. Melkonyan et al., Sustainability assessments and their implementation possibilities within the business models of companies, Sustainable Production and Consumption, vol. 12, 2017.

2. Y. Joshi et al., Factors affecting green purchase behaviour and future research directions, International Strategic Management Review, vol. 3, no. 1, 2015.

3. C. R. Carter et al., A framework of sustainable supply chain management: moving toward new theory, Int’l Journal of Physical Distribution & Logistics Management, vol. 38, no. 5, 2008.

4. S. Gupta et al., Sustainable supply chain management: Review and research opportunities, IIMB Management Review, vol. 23, no. 4,2011.

5. D. Parker et al., Remanufacturing Market Study, 2015.

6. Q. Joao et al., An analysis of the ECO‐efficiency of remanufactured personal computers and mobile phones, Production and Operations Management, vol. 21, no. 1, 2012.

7. N. Tereyagoglu, Market Behavior Towards Remanufactured Products: Springer International Publishing, 2016.

8. A. V. Hill, The newsvendor problem, 2017, Beach Press, 2017.

9. K. Christos, A newsvendor problem with revenue sharing and channel coordination, Decision Sciences, vol. 37, no. 1, 2006.

10. Z. Qin et al., Analysis of a revenue-sharing contract in supply chain management, International Journal of Logistics Research and Applications, vol. 11, no. 1, 2008.

11. J. J. D. Dana et al., Revenue sharing and vertical control in the video rental industry, The Journal of Industrial Economics, vol. 49, no. 3.

12. C. Hai-Tao et al., Coordination and revenue sharing contract with the newsvendor problem, in 2007 International Conference on Management Science and Engineering, 2007.

13. G. Qiaolun et al., Impacts of RFID/EPC on optimal decisions of reverse supply chain, in 2011 International Conference on Business Computing and Global Informatization, 2011.

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