Production and uncertain green subcontracting control for an unreliable manufacturing system facing emissions

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Abstract

Faced with environmental legislation imposed by authorities, manufacturers must review their short- and mid-long-term strategies in order to integrate the environmental dimension into the decision-making process. In that context, in this paper, we address the problem of an unreliable manufacturing system producing one product family type to meet a demand. We consider that the manufacturing system’s operations generate harmful emissions into the environment. Hence, in addition to inventory, production and backlog costs, an environmental penalty is imposed when the emission level reaches a specific limit (cap approach). Because technology investments in production clean processes is often heavy and to improve its environmental strategy, we consider that demand can be partially satisfied by an unreliable subcontractor. The subcontractor which is characterized by a high development and innovation on sustainable technology requires a high selling cost and a random availability. This work examines this decision-making problem in order to propose a new joint production and subcontracting control policy which takes into account the emission level. The objective is to optimize the total cost, which includes the inventory, backlog, production, emission, and subcontracting costs, over an infinite horizon. An experimental approach combining simulation, experimental design and response surface methodology is used to solve the problem. Through numerical examples and further sensitivity analysis, the structure of the control policy is confirmed and analyzed. Thanks to the practical usefulness of the resolution approach, we provide a decision support system to help managers in deciding whether or not to subcontract, depending on green subcontractor characteristics (availability and cost).

Keywords

Unreliable manufacturing system Uncertain green subcontractor Production Emission Experimental resolution approach Decision support 

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References

  1. 1.
    Abernathy FH, Dunlop JT, Hammond JH, Weil D (2000) Control your inventory in a world of lean retailing. Harv Bus Rev 78(6):169–176Google Scholar
  2. 2.
    Assid M, Gharbi A, Hajji A (2014) Joint production and setup control policies of unreliable manufacturing systems minimizing the incurred total cost and taking into account other criteria. Int J Adv Manuf Technol 72:809–826CrossRefGoogle Scholar
  3. 3.
    Baas L (2007) To make zero emissions technologies and strategies become a reality, the lessons learned of cleaner production dissemination have to be known. J Clean Prod 15(13):1205–1216CrossRefGoogle Scholar
  4. 4.
    Ben-Salem A, Gharbi A, Hajji A (2015) Environmental issue in an alternative production—maintenance control for unreliable manufacturing system subject to degradation. Int J Adv Manuf Technol 77:383–398CrossRefGoogle Scholar
  5. 5.
    Ben-Salem A, Gharbi A, Hajji A (2015) An environmental hedging point policy to control production rate and emissions in unreliable manufacturing systems. Int J Prod Res 53(2):435–450CrossRefGoogle Scholar
  6. 6.
    Bradley JR (2004) A Brownian approximation of a production-inventory system with a manufacturer that subcontracts. Oper Res 52(5):765–784MathSciNetCrossRefMATHGoogle Scholar
  7. 7.
    Brown D (2008) It is good to be green: environmentally friendly credentials are influencing business outsourcing decisions. Strateg Outsourcing: Int J 1(1):87–95CrossRefGoogle Scholar
  8. 8.
    Cebon P (1993) Corporate obstacles to pollution prevention. EPA J 19:20Google Scholar
  9. 9.
    Chen C, Monahan GE (2010) Environmental safety stock: the impacts of regulatory and voluntary control policies on production planning, inventory control, and environmental performance. Eur J Oper Res 207:1280–1292MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Chen X, Benjaafar S, Elomri A (2013) The carbon-constrained EOQ. Oper Res Lett 41(2):172–179MathSciNetCrossRefMATHGoogle Scholar
  11. 11.
    Dahane M, Dellagi S, Clémentz C, Rezg N (2011) Development of joint maintenance and production strategies in a subcontracting environment. Int J Prod Res 49(23):6937–6961CrossRefGoogle Scholar
  12. 12.
    Drake D, Kleindorfer PR, Van Wassenhove LN (2012) Technology choice and capacity portfolios under emissions regulation. Harvard Business School Working Paper, Harvard UniversityGoogle Scholar
  13. 13.
    Hajej Z, Dellagi S, Rezg N (2014) Joint optimisation of maintenance and production policies with subcontracting and product returns. J Intell Manuf 25(3):589–602CrossRefGoogle Scholar
  14. 14.
    Hajji A, Gharbi A, Kenne J-P (2009) Joint replenishment and manufacturing activities control in a two-stage unreliable supply chain. Int J Prod Res 47(12):3231–3251CrossRefMATHGoogle Scholar
  15. 15.
    Kenne J-P, Gharbi A (2000) Production planning problem in manufacturing systems with general failure and repair time distributions. Prod Plan Control 11(6):581–588CrossRefGoogle Scholar
  16. 16.
    Kouedeu AF, Kenné JP, Dejax P, Songmene V, Polotski V (2014) Production and maintenance planning for a failure-prone deteriorating manufacturing system: a hierarchical control approach. Int J Adv Manuf Technol :1–13Google Scholar
  17. 17.
    Kumar RS, Subrahmanya MB (2010) Influence of subcontracting on innovation and economic performance of SMEs in Indian automobile industry. Technovation 30(11):558–569CrossRefGoogle Scholar
  18. 18.
    Lambert DM, Emmelhainz MA, Gardner JT (1996) Developing and implementing supply chain partnerships. Int J Logist Manag 7(2):1–18CrossRefGoogle Scholar
  19. 19.
    Li S (2014) Optimal control of production-maintenance system with deteriorating items emission tax and pollution R&D investment. Int J Prod Res 52(6):1787–1807CrossRefGoogle Scholar
  20. 20.
    Ramudhin A, Chaabane A, Kharoune M, Paquet M (2008) Carbon market sensitive green supply chain network design. In: Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference, IEEE, p 1093–1097Google Scholar
  21. 21.
    Rivera-Gomez H, Gharbi A, Kenné JP (2013) Joint control of production, overhaul, and preventive maintenance for a production system subject to quality and reliability deteriorations. Int J Adv Manuf Technol 69(9–12):2111–2130CrossRefGoogle Scholar
  22. 22.
    Sivakumar R, Kannan D, Murugesan P (2014) Green vendor evaluation and selection using AHP and Taguchi loss functions in production outsourcing in mining industry. Resour Policy. doi:10.1016/j.resourpol.2014.03.008 (In Press)
  23. 23.
    Tan B (2004) Subcontracting with availability guarantees: production control and capacity decisions. IIE Trans 36(8):711–724CrossRefGoogle Scholar
  24. 24.
    Yang J, Qi X, Xia Y (2005) A production-inventory system with Markovian capacity and outsourcing option. Oper Res 53(2):328–349MathSciNetCrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Automated Production Engineering Department, École de technologie supérieure, Production System Design and Control LaboratoryUniversity of QuebecMontrealCanada
  2. 2.Department of Operations and Decision Systems and CIRRELTLaval UniversityQuébecCanada

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