Abstract
Green supply chain has become a promising and challenging field during the last decade driven by rising environmental conscious business and governmental legislation. In this paper, we develop a Petri-net based model to describe the green supply chain and to evaluate the essential performance. Generalized stochastic Petri nets (GSPN) are introduced to model the network of a general green supply chain with time characteristics. Performance analysis is carried out using the embedded Markov chain. Furthermore, we perform a comparison between green and normal supply chain to assert the superiority of the green supply chain in terms of profits.
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Ajmone Marsan, M., Balbo, G., Chiola, G., Conte, G.: Generalized stochastic petri nets revisited: random switches and prioritiesn. In: Proceedings of the International Workshop on Petri Nets and Performance Models, Madison (1987)
Dowlatshahi, S.: A cost-benefit analysis for the design and implementation of reverse logistics systems: case studies approach. Int. J. Prod. Res. 48, 1361–1380 (2010)
El-Sayed, M., Afia, N., El-Kharbotly, A.: A stochastic model for forward-reverse logistics network design under risk. Comput. Ind. Eng. 58, 423–431 (2010)
Fleischmann, M., Krikke, H.R., Dekker, R., Flapper, S.D.P.: A characterization of logistics networks for product recovery. Omega 28, 653–666 (2000)
Hanafi, J., Kara, S., Kaebernick, H.: Generating fuzzy coloured petri net forecasting model to predict the return of products. In: IEEE International Symposium on Electronics and The Environment, vol. 245–250, pp. 7–10 (2007)
Hanafi, J., Kara, S., Kaebernick, H.: Reverse logistics strategies for end-of-life products. Int. J. Logistics Manag. 19, 367–388 (2008)
Handfield, R.B.: Green supply chain: best practices from furniture industry. In: Proc 3th Annual Conference Decision Sciences Institute, New York, pp. 1295–1297 (1996)
Huang, Z.Q., Yi, R.H., Da, Q.L.: Study on the efficiency of the closed-loop supply chains with remanufacture based on third-party collecting. Chin. J. Manage. Sci. 3, 73–77 (2008)
Lin, C.: Stochastic Petir Nets and System Performance Evaluation II. Tsinghua University Press, Beijing (2004)
Moore, K.E., Gungor, A.K., Gupta, S.M.: A petri net approach to disassembly process planning. Comput. Ind. Eng. 35, 165–168 (1998)
Moore, K.E., Gungor, A.K., Gupta, S.M.: Petri net approach to disassembly process planning for products with complex AND/OR precedence relationships. Eur. J. Oper. Res. 135, 428–449 (2001)
Petri, C.A.: Kommunikation mit Automaten. Thesis(PhD), Universität Bonn (1962)
Salema, M.I., Póvoa, A.P.B., Novais, A.Q.: Dynamic network design model with reverse flows. In: Sixteenth Annual Conference of POMS, Chicago, pp. 003–0036 (2005)
Kumar, S., Teichman, S., Timpernagel, T.: A green supply chain is a requirement for profitability. Int. J. Prod. Res. 50, 1278–1296 (2012)
Samir, K.: Srivastava: green supply-chain management: a state-of- the-art literature review. Int. J. Manag. Rev. 9, 53–80 (2007)
Thierry, M., van Wassenhove, L.N., van Nunen, J.A.E.E., Salomon, M.: Strategic issues in product recovery management. Calif. Manag. Rev. 37, 114–135 (1995)
Travedi, K.S.: Probability and Statistics with Reliability, Queuing, and Computer Science Applications II. Wiley, New York (2001)
Zhang, X., Qiang, L., Teresa, W.: Petri-net based applications for supply chain management: an overview. Int. J. Prod. Res. 49, 3939–3961 (2011)
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Appendix
Appendix
A1. Set of Steady States
State | P0 | P1 | P2 | P3 | P4 | P5 | P6 | P7 | P8 | P9 | P10 | P11 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S0 | M0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
S1 | M1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
S2 | M2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
S3 | M3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
S4 | M4 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
S11 | M5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
S10 | M6 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S9 | M7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
S8 | M8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
S7 | M9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
S14 | M10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S13 | M11 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S12 | M12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
A2. Performance Measures of GSPN-GrSCN
Steady state M i | Sojourn Time \( \bar \tau \)[M i] | Place P i | Average tokens \( \bar u \) i | Transition T i | Transition utilization U(T i) | Transition T i | Transition throughput R(T i) |
---|---|---|---|---|---|---|---|
M0 | 0.16667 | P 0 | 0.04042 | T 0 | 0.04042 | T 0 | 0.24252 |
M1 | 0.33333 | P 1 | 0.1156 | T 1 | 0.1156 | T 1 | 0.34681 |
M2 | 0.66667 | P 2 | 0.30719 | T 2 | 0.30719 | T 2 | 0.46079 |
M3 | 0.16667 | P 3 | 0.08892 | T 3 | 0.08893 | T 3 | 0.53355 |
M4 | 0.5 | P 4 | 0.26677 | T 4 | 0.26678 | T 4 | 0.53355 |
M5 | 0.33333 | P 5 | 0 | T 11 | 0.0101 | T 11 | 0.06063 |
M6 | 0.16667 | P 6 | 0 | T 12 | 0.038 | T 12 | 0.11399 |
M7 | 0.16667 | P 7 | 0.01011 | T 13 | 0.05214 | T 13 | 0.10428 |
M8 | 0.33333 | P 8 | 0.038 | T 14 | 0.08084 | T 14 | 0.24252 |
M9 | 0.5 | P 9 | 0.05214 | ||||
M10 | 0.5 | P 10 | 0.08084 | ||||
M11 | 0.66667 | P 11 | 0.44462 | ||||
M12 | 0.33333 |
A3. Performance Measures of GSPN-SCN without Recovery
Place P i | Average tokens \( \bar u \) i ′ | Transition T i′ | Transition utilization U(T i) | Transition T i′ | Transition throughput R′(T i) |
---|---|---|---|---|---|
P 0 | 0.07692 | T 0 | 0.07692 | T 0 | 0.46153 |
P 1 | 0.15385 | T 1 | 0.15384 | T 1 | 0.46153 |
P 2 | 0.30769 | T 2 | 0.30769 | T 2 | 0.46153 |
P 3 | 0.07692 | T 3 | 0.07692 | T 3 | 0.46153 |
P 4 | 0.23077 | T 4 | 0.23077 | T 4 | 0.46153 |
P 5 | 0 | T 14 | 0.15384 | T 14 | 0.46153 |
P 6 | 0 | ||||
P 10 | 0.15385 |
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Pan, M., Wu, W. (2014). A Petri Net Approach for Green Supply Chain Network Modeling and Performance Analysis. In: Lohmann, N., Song, M., Wohed, P. (eds) Business Process Management Workshops. BPM 2013. Lecture Notes in Business Information Processing, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-319-06257-0_26
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DOI: https://doi.org/10.1007/978-3-319-06257-0_26
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