Performance analysis model for service supply chains : case of the retirement supply chain
-
https://doi.org/10.14419/ijet.v7i3.13929
Received date: June 9, 2018
Accepted date: June 29, 2018
Published date: July 11, 2018
-
Service Supply Chain, Modelling, Simulation, ASDI, OSSAD, BPM, SCOR, KPIS. -
Abstract
A service supply chain (SSC) is a supply network that transfers resources into services with or without physical products, to satisfy cus-tomer needs. So it’s evident that without offering the right service at the right time to the right person, the service is incomplete, inconsistent and ineffective. In the same context, the retirement field faces the challenge of offering the correct pension to the right pensioner the first month of his retirement. This paper approaches this challenge from a SSC perspective as a case study for dealing with continuity in service supply chain. It uses a methodology that combine Analysis-Specification-Design-Implementation (ASDI), Office Support Systems Analy-sis and Design (OSSAD), Business Process Management (BPM), and Supply Chain Operations Reference (SCOR). It analyzes and mod-els the Moroccan retirement SSC, simulates the behavior of "the management of civil pension rights" process, and proposes a set of Key Performance Indicators (KPI) to evaluate the continuity in the service supply chain. Hence, this work provides guidance on the performance analysis of a SSC.
-
References
- Y. Wang, S.W. Wallace, B. Shen, and T. Choi, “Service supply chain management: A review of operational models”, European Journal of Operational Research, Vol. 247, No. 3, (2015), pp. 685-698, available online: https://www.sciencedirect.com/science/article/abs/pii/S0377221715004646 , last visit:08.06.2018.
- F. Cheng, S. Yang, and X. Ma, “Equilibrium Conditions In Service Supply Chain”, Procedia Engineering, Vol. 15, No. 1, (2011), pp. 5100-5104, available online: https://www.sciencedirect.com/science/article/pii/S1877705811024477 , last visit:08.06.2018
- A. Raj Laxmi, and A. Mishra, “Automation in supply chain man-agement system using Internet of Things (IoT)”, International Journal of Engineering & Technology, Vol. 7, No. 2, (2018), pp. 777-783, available online: https://www.sciencepubco.com/index.php/ijet/article/view/10746 , last visit:08.06.2018
- Surahman, A. Viddy, A. Fanany Onnilita Gaffar, Haviluddin, and A. Saleh Ahmar, “Selection of the best supply chain strategy using fuzzy based decision model”, International Journal of Engineering & Technology, Vol. 7, No. 2.2, (2018), pp. 117-121, available online: https://www.sciencepubco.com/index.php/ijet/article/view/12748 , last visit:08.06.2018
- S. Boon-itt, C.Y. Wong, and C.W.Y. Wong, “Service supply chain management process capabilities: Measurement development”, Inter-national Journal of Production Economics, Vol. 193, No. 1, (2017), pp. 1-11, available online: https://www.sciencedirect.com/science/article/pii/S0925527317301974 , last visit:08.06.2018
- J.H.J. Vilko, “The development of a service supply chain model for a manufacturing SME”, The International Journal of Logistics Man-agement, Vol. 26, No. 3, (2016), pp. 517-542, available online: https://www.emeraldinsight.com/doi/abs/10.1108/IJLM-01-2014-0001 , last visit:08.06.2018
- Y. Wei, Q. Hu, and C. Xu, “Ordering, pricing and allocation in a service supply chain”, International Journal of Production Economics, Vol. 14, No. 1, (2013), pp. 590-598, available online: https://www.sciencedirect.com/science/article/pii/S0925527313001862 , last visit:08.06.2018
- M. Tseng, M.K. Lim, W. Wong, Y. Chen, and Y. Zhan, “A frame-work for evaluating the performance of sustainable service supply chain management under uncertainty”, International Journal of Pro-duction Economics, Vol. 195, No. 1, (2018), pp. 359-372, available online: https://www.sciencedirect.com/science/article/pii/S0925527316302328 , last visit:08.06.2018
- P. Chithambaranathan, N. Subramanian, A. Gunasekaran, and P.K. Palaniappan, “Service supply chain environmental performance evaluation using grey based hybrid MCDM approach”, International Journal of Production Economics, Vol. 166, No. 1, (2015), pp. 163-176, available online: https://www.sciencedirect.com/science/article/pii/S0925527315000055 , last visit:08.06.2018
- D.W. Cho, Y.H. Lee, S.H. Ahn, and M.K. Hwang, “A framework for measuring the performance of service supply chain management”, Computers & Industrial Engineering, Vol. 62, No. 3, April 2012, pp. 801-818, available online: https://www.sciencedirect.com/science/article/abs/pii/S0360835211003378 , last visit:08.06.2018
- K. Khile, and A. Abouabdellah, “Redesigning the Hospital Supply Chain for Enhanced Performance Using a Lean Methodology”, In-ternational Review on Modelling and Simulations, Vol. 9, No. 6, (2016), pp. 407-413, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=19857 , last visit:08.06.2018
- H. Demirkan, and H.K. Cheng, “The risk and information sharing of application services supply chain”, European Journal of Operational Research, Vol. 187, No. 3, (2008), pp. 765-784, available online: https://www.sciencedirect.com/science/article/abs/pii/S037722170600782X , last visit:08.06.2018
- M. He, J. Xie, X. Wu, Q. Hu, and Y. Dai, “Capability Coordination in Automobile Logistics Service Supply Chain Based on Reliability”, Procedia Engineering, Vol. 137, No. 1, (2016), pp. 325-333, availa-ble online: https://www.sciencedirect.com/science/article/pii/S1877705816002927 , last visit:08.06.2018
- N. Saccani, P. Johansson, and M. Perona, “Configuring the after-sales service supply chain: A multiple case study”, International Journal of Production Economics, Vol. 110, No. 2, (2007), pp. 52-69, available online: https://www.sciencedirect.com/science/article/pii/S0925527307000813 , last visit:08.06.2018
- Y. Xia, B. Chen, V. Jayaraman, and C. Munson, “Competition and market segmentation of the call center service supply chain”, Euro-pean Journal of Operational Research, Vol. 247, No. 2, (2015), pp. 504-514, available online: https://www.sciencedirect.com/science/article/abs/pii/S037722171500541X , last visit:08.06.2018
- A. Genovese, S.C.L. Koh, and A. Acquaye, “Energy efficiency ret-rofitting services supply chains: Evidence about stakeholders and configurations from the Yorskhire and Humber region case”, Interna-tional Journal of Production Economics, Vol. 144, No. 1, (2013), pp. 20-43, available online: https://www.sciencedirect.com/science/article/pii/S0925527312005117 , last visit:08.06.2018
- L. Gooding, and M.S. Gul, “Energy efficiency retrofitting services supply chains: A review of evolving demands from housing policy”, Energy Strategy Reviews, Vol. 11, No. 1, (2016), pp. 29-40, availa-ble online: https://www.sciencedirect.com/science/article/pii/S2211467X16300220 , last visit:08.06.2018 https://doi.org/10.1109/IRSEC.2016.7983999.
- H. Mezouar, and A. El Afia, “A Process Simulation Model for A Proposed Moroccan Supply Chain of Electricity”, Proceedings of the IEEE International Renewable and Sustainable Energy Conference (IRSEC), (2016), pp. 647-654,
- A. Avédissian, and R. Valverde, “An extension proposition for the Agent-Based Language Modeling Ontology for the representation of Human-Driven Collaboration in Supply Chain Systems”, Interna-tional Federation of Automatic Control (IFAC-PapersOnLine), Vol. 43, No. 3, (2015), pp. 1857-1864, available online: https://www.sciencedirect.com/science/article/pii/S2405896315005960 , last visit:08.06.2018
- I. Heckmann, T. Comes, and S. Nickel, “A critical review on supply chain risk – Definition, measure and modelling”, Omega, Vol. 52, No. 1, (2015), pp. 119-132, available online: https://www.sciencedirect.com/science/article/pii/S030504831400125X , last visit:08.06.2018
- Q. Long, and W. Zhang, “An integrated framework for agent based inventory–production–transportation modeling and distributed simu-lation of supply chains”, Information Sciences, Vol. 277, No. 1, (2014), pp. 567-581, available online: https://www.sciencedirect.com/science/article/pii/S0020025514002618 , last visit:08.06.2018
- V.J.L. Gan, and J.C.P. Cheng, “Formulation and analysis of dynam-ic supply chain of backfill in construction waste management using agent-based modelling”, Advanced Engineering Informatics, Vol. 29, No. 4, (2015), pp. 878-888, available online: https://www.sciencedirect.com/science/article/pii/S1474034615000166 , last visit:08.06.2018
- B. Sharma, R.G. Ingalls, C.L. Jones, and A. Khanchi, “Biomass supply chain design and analysis: Basis, overview, modeling, chal-lenges, and future”, Renewable and Sustainable Energy Reviews, Vol. 24, No. 1, (2013), pp. 608-627, available online: https://www.sciencedirect.com/science/article/pii/S1364032113002086 , last visit:08.06.2018
- Z. Ouachia, B. Allenet, N. Chouchane, and J. Calop, “Le référence-ment des médicaments au niveau des établissements hospitaliers fran-çais”, Le Pharmacien Hospitalier, Vol. 45, No. 2, (2010), pp. 57-65, available online: https://www.sciencedirect.com/science/article/pii/S0768917910000465 , last visit:08.06.2018
- B. Fahimnia, C.S. Tang, H. Davarzani, and J. Sarkis, “Quantitative models for managing supply chain risks: A review”, European Jour-nal of Operational Research, Vol. 247, No. 1, (2015), pp. 1-15, available online: https://www.sciencedirect.com/science/article/abs/pii/S0377221715003276 , last visit:08.06.2018
- H. Mezouar, A. El Afia, R. Chiheb, and F. Ouzayd, “Toward a pro-cess model of Moroccan electric supply chain”, Proceedings of the IEEE International Conference on Electrical and Information Tech-nologies (ICEIT), (2015), pp. 184-191, https://doi.org/10.1109/EITech.2015.7162990.
- H. Mezouar, A. El Afia, and R. Chiheb, “A new concept of intelli-gence in the electric power management”, Proceedings of the IEEE International Conference on Electrical and Information Technolo-gies (ICEIT), (2016), pp. 28-35, https://doi.org/10.1109/EITech.2016.7519596.
- A. El Afia, and H. Mezouar, “A global mapping of the Moroccan supply chain of hospital drugs, and a simulation of the dispensation process”, Proceedings of the ACM International Conference on Big Data, Cloud and Applications (BDCA), No. 108, (2017), https://doi.org/10.1145/3090354.3090465.
- H. Mezouar, A. El Afia, R. Chiheb, and F. Ouzayd, “Proposal of a modeling approach and a set of KPI to the drug supply chain within the hospital”, Proceedings of the IEEE International Conference on Logistics Operations Management (GOL), (2016), pp. 1-6, https://doi.org/10.1109/GOL.2016.7731691.
- H. Mezouar, and A. El Afia, “A Retirement Pension from a Supply Chain Side: Case of the Moroccan Retirement Pension”, Lecture Notes in Networks and Systems Springer, Vol. 25, (2017), pp. 103-115, available online: https://link.springer.com/chapter/10.1007/978-3-319-69137-4_11 , last visit:08.06.2018
- P. Tučník, and V. Bureš, “Inclusion of Complexity: Modelling En-terprise Business Environment by Means of Agent Based Simula-tion”, International Review on Modelling and Simulations, Vol. 6, No. 5, (2013), pp. 1709-1717, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=13636 , last visit:08.06.2018
- A. Rogers, and M. Ierapetritou, “Challenges and opportunities in modeling pharmaceutical manufacturing processes”, Computers & Chemical Engineering, Vol. 81, No. 4, (2015), pp. 32-39, available online: https://www.sciencedirect.com/science/article/pii/S0098135415000897 , last visit:08.06.2018
- J.B. Oliveira, R.S. Lima, and J.A.B. Montevechi, “Perspectives and relationships in Supply Chain Simulation: A systematic literature re-view”, Simulation Modelling Practice and Theory, Vol. 62, No. 1, (2016), pp. 166-191, available online: https://www.sciencedirect.com/science/article/pii/S1569190X16000216 , last visit:08.06.2018
- E. Fleisch, and C. Tellkamp, “Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain”, Interna-tional Journal of Production Economics, Vol. 95, No. 3, (2005), pp. 373-385, available online: https://www.sciencedirect.com/science/article/pii/S0925527304000386 , last visit:08.06.2018
- M. Sha, and R. Srinivasan, “Fleet sizing in chemical supply chains using agent-based simulation”, Computers & Chemical Engineering, Vol. 84, No. 4, (2016), pp. 180-198, available online: https://www.sciencedirect.com/science/article/pii/S0098135415002768 , last visit:08.06.2018
- F. Persson, and M. Araldi, “The development of a dynamic supply chain analysis tool — Integration of SCOR and discrete event simu-lation”, International Journal of Production Economics, Vol. 121, No. 2, (2009), pp. 574-583, available online: https://www.sciencedirect.com/science/article/pii/S0925527307000588 , last visit:08.06.2018
- V. Albino, N. Carbonara, and I. Giannoccaro, “Supply chain coop-eration in industrial districts: A simulation analysis”, European Jour-nal of Operational Research, Vol. 177, No. 1, (2007), pp. 261-280, available online: https://www.sciencedirect.com/science/article/abs/pii/S0377221705009021 , last visit:08.06.2018
- S.A.M. Almasani, V.I. Finaev, W.A.A. Qaid, and A.V. Tychinsky, “The decision-making model regarding the complexity of system”, Journal of Theoretical and Applied Information Technology, Vol. 95, No. 13, (2017), pp. 3096 – 3104, available online: http://www.jatit.org/volumes/Vol95No13/21Vol95No13.pdf , last visit:08.06.2018
- A. Douraid, S.L. Elhaq, and H. Ech-Cheikh, “Improvement in the Coupling of Procurement Process and Production Planning by Simu-lation Under Stochastic Demand and Lead Time”, International Re-view on Modelling and Simulations, Vol. 7, No. 4, (2014), pp. 712-719, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=15935 , last visit:08.06.2018
- H. Ech-Cheikh, S.L. Elhaq, and A. Douraid, “Performance Evalua-tion of Complex Decentralized and Centralized Multi-Echelon Dis-tribution Supply Chain”, International Review on Modelling and Simulations, Vol. 7, No. 4, (2014), pp. 720-728, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=15944 , last visit:08.06.2018
- V. Seralathan, and C. Jegadheesan, “Design and Comparative Analysis of Mathematical and Simulation Models in Injection Mold-ing Decision System”, International Review on Modelling and Simu-lations, Vol. 6, No. 5, (2013), pp. 1642-1648, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=11733 , last visit:08.06.2018
- M. Ascione, G. Converso, T. Murino, and L.C. Santillo, “A Simula-tion Model for Dichotomous Approach between Governance and Operations Management: Case Study of Financial Sector”, Interna-tional Review on Modelling and Simulations, Vol. 7, No. 3, (2014), pp. 497-509, available online: https://www.praiseworthyprize.org/jsm/index.php?journal=iremos&page=article&op=view&path%5B%5D=14721 , last visit:08.06.2018
- M. Maloney, and A. McCarthy, “Understanding pension communi-cations at the organizational level: Insights from bounded rationality theory & implications for HRM”, Human Resource Management Review, Vol. 27, No. 2, (2017), pp. 338-352, available online: https://www.sciencedirect.com/science/article/abs/pii/S105348221630033X , last visit:08.06.2018
- J. Bednář, and I.F. Leitmanová, “Draft of the regional pension scheme functioning simulated in the Czech Republic”, Kontakt, Vol. 18, No. 2, (2016), pp. 112-119, available online: https://www.sciencedirect.com/science/article/pii/S1212411716300058 , last visit:08.06.2018
- J. Balasuriya, O. Gough, and K. Vasileva, “Do optimists plan for retirement? A behavioural explanation for non-participation in pen-sion schemes”, Economics Letters, Vol. 125, No. 3, (2014), pp. 396-399, available online: https://www.sciencedirect.com/science/article/pii/S0165176514003930 , last visit:08.06.2018
- H. Wu, and Y. Zeng, “Equilibrium investment strategy for defined-contribution pension schemes with generalized mean–variance crite-rion and mortality risk”, Insurance: Mathematics and Economics, Vol. 64, No. 1, (2015), pp. 396-408, available online: https://www.sciencedirect.com/science/article/pii/S0167668715001195 , last visit:08.06.2018
- M. Ning, J. Gong, X. Zheng, and J. Zhuang, “Does New Rural Pen-sion Scheme decrease elderly labor supply? Evidence from CHARLS”, China Economic Review, Vol. 41, No. 1, (2016), pp. 315-330, available online: https://www.sciencedirect.com/science/article/pii/S1043951X1630044X , last visit:08.06.2018
- J. Josiah, O. Gough, J. Haslam, and N. Shah, “Corporate reporting implication in migrating from defined benefit to defined contribution pension schemes: A focus on the UK”, Accounting Forum, Vol. 38, No. 1, (2014), pp. 18-37, available online: https://www.sciencedirect.com/science/article/pii/S0155998213000604 , last visit:08.06.2018
- J.A. Nielsen, K. Sandmann, and E. Schlögl, “Equity-linked pension schemes with guarantees”, Insurance: Mathematics and Economics, Vol. 49, No. 3, (2011), pp. 547-564, available online: https://www.sciencedirect.com/science/article/pii/S016766871100093X , last visit:08.06.2018
- E. Platanakis, and C. Sutcliffe, “Pension scheme redesign and wealth redistribution between the members and sponsor: The USS rule change in October 2011”, Insurance: Mathematics and Economics, Vol. 69, No. 1, (2016), pp. 14-28, available online: https://www.sciencedirect.com/science/article/pii/S0167668715301189 , last visit:08.06.2018
- G. Weichhart, A. Molina, D. Chen, L.E. Whitman, and F. Vernadat, “Challenges and current developments for Sensing, Smart and Sus-tainable Enterprise Systems”, Computers in Industry, Vol. 79, No. 1, June 2016, pp. 34-46, available online: https://www.sciencedirect.com/science/article/pii/S0166361515300208 , last visit:08.06.2018
- P. Barnes, L. Nemes, and T.J. Williams, “Architectures for Enter-prise Integration”, Published by Chapman & Hall on behalf of IFIP and IFAC, (1996), pp. 102-126 https://doi.org/10.1007/978-0-387-34941-1.
- K. Kosanke, F. Vernadat, and M. Zelm, “Means to enable enterprise interoperation: CIMOSA Object Capability Profiles and CIMOSA Collaboration View”, Annual Reviews in Control, Vol. 39, No. 1, (2015), pp. 94-101, available online: https://www.sciencedirect.com/science/article/pii/S1367578815000103 , last visit:08.06.2018
- H. Li, and T.J. Williams, “Some extensions to the Purdue Enterprise Reference Architecture (PERA): I. Explaining the Purdue architec-ture and the Purdue methodology using the axioms of engineering design”, Computers in Industry, Vol. 34, No. 3, (1997), pp. 247-259, available online: https://www.sciencedirect.com/science/article/pii/S016636159700047X , last visit:08.06.2018
- K. Chaharsooghi, and M.A. Achachlouei, “Developing life-cycle phases for the DoDAF using ISO15704 Annex A (GERAM)”, Computers in Industry, Vol. 62, No. 3, (2011), pp. 253-259, availa-ble online: https://www.sciencedirect.com/science/article/pii/S0166361510001065 , last visit:08.06.2018
- A. Talhi, J.C. Huet, V. Fortineau, and S. Lamouri, “Towards a Cloud Manufacturing systems modeling methodology”, International Federation of Automatic Control (IFAC-PapersOnLine), Vol. 48, No. 3, (2015), pp. 288-293, available online: https://www.sciencedirect.com/science/article/pii/S2405896315003353 , last visit:08.06.2018
- C. Girard, P. David, E. Piatyszek, and J. Flaus, “Emergency re-sponse plan: Model-based assessment with multi-state degradation”, Safety Science, Vol. 85, No. 1, (2016), pp. 230-240, available online: https://www.sciencedirect.com/science/article/pii/S0925753515003458 , last visit:08.06.2018
- S. Nurcan, “Analysis and design of co-operative work processes: a framework”, Information and Software Technology, Vol. 40, No. 3, (1998), pp. 143-156, available online: https://www.sciencedirect.com/science/article/abs/pii/S0950584998000482 , last visit:08.06.2018
- O. Glassey, “A case study on process modelling — Three questions and three techniques”, Decision Support Systems, Vol. 44, No. 4, (2008), pp. 842-853, available online: https://www.sciencedirect.com/science/article/pii/S0167923607001789 , last visit:08.06.2018
- Supply Chain Council, “SCOR: Supply Chain Operations Reference Model Revision 11.0”, (Printed in the United States of America, 2012).
-
Downloads
-
How to Cite
Mezouar, H., & El Afia, A. (2018). Performance analysis model for service supply chains : case of the retirement supply chain. International Journal of Engineering and Technology, 7(3), 1429-1438. https://doi.org/10.14419/ijet.v7i3.13929
