Abstract
The aim of every manufacturing organization is to fulfil the demand of their customers at minimum total cost or at maximum profit. To fulfil the demand of geographically dispersed customers, manufacturing organizations need to produce products at multiple manufacturing sites located close to the customer. Although planning function in such a scenario becomes very complex, this multi-site environment has been found to improve efficiency and provide better services to customers. It involves interlinked decisions involving procurement, production and distribution at different plants and distribution sites. Production and distribution planning are very important aspects of planning in multi-site manufacturing. To compete in this globalized market, enterprises should focus on optimizing and integrating production and distribution functions simultaneously. The authors in the research work present an integrated production and distribution planning problem for a two-level supply chain consisting of multiple manufacturing sites serving multiple selling locations. The problem is formulated as a multi-objective mixed-integer programming model considering three important aspects of production and distribution planning, viz. set-up, backorder and transportation capacity. Total cost, delivery time and backlog level are the three conflicting objectives that need to be minimized. The proposed multi-objective mathematical problem is solved using pre-emptive goal programming method. The performance of the proposed model is illustrated through an example problem instance. Further analysis is conducted to visualize the effect of changing priority level on objective function and deviation variable values.
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References
Guinet, A. (2001). Multi-site planning: A transshipment problem. International Journal of Production Economics, 74(1), 21–32.
Darvish, M., Larrain, H., & Coelho, L. C. (2016). A dynamic multi-plant lot-sizing and distribution problem. International Journal of Production Economics, 54(22), 6707–6717.
Badhotiya, G. K., Soni, G., Mittal, M. L.: An analysis of mathematical models for multi-site production and distribution planning. International Journal of Intelligent Enterprise (2018) (Article in press).
Park, Y. B. (2005). An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research, 43(6), 1205–1224.
Melo, R. A., & Wolsey, L. A. (2012). MIP formulations and heuristics for two-level production-transportation problems. Computers and Operations Research, 39(11), 2776–2786.
Entezaminia, A., Heydari, M., & Rahmani, D. (2016). A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain: Considering collection and recycling centers. Journal of Manufacturing Systems, 40, 63–75.
Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138–151.
Charnes, A., & Cooper, W. W. (1961). Management models and industrial applications of linear programming. New York: Wiley.
Lawrence, K. D., & Burbridge, J. J. (1976). A multiple goal linear programming model for coordinated production and logistics planning. International Journal of Production Research, 14(2), 215–222.
Taylor, B. W., & Anderson, P. F. (1979). Goal programming approach to marketing/production planning. Industrial Marketing Management, 8(2), 136–144.
Zanakis, S. H., & Smith, J. J. S. (1980). Chemical production planning via goal programming. International Journal of Production Research, 18(6), 687–697.
Rakes, T. R., Franz, L. S., & James Wynne, A. (1984). Aggregate production planning using chance-constrained goal programming. International Journal of Production Research, 22(4), 673–684.
Deckro, R. F., & Hebert, J. E. (1984). Goal programming approaches to solving linear decision rule based aggregate production planning models. IIE Transactions, 16(4), 308–315.
Leung, S. C., Wu, Y., & Lai, K. K. (2003). Multi-site aggregate production planning with multiple objectives: A goal programming approach. Prod. Plan. Control., 14(5), 425–436.
Leung, S. C., & Ng, W. L. (2007). A goal programming model for production planning of perishable products with postponement. Computer and Industrial Engineering, 53(3), 531–541.
Leung, S. C., & Chan, S. S. (2009). A goal programming model for aggregate production planning with resource utilization constraint. Computer and Industrial Engineering, 56(3), 1053–1064.
Kanyalkar, A. P., & Adil, G. K. (2007). Aggregate and detailed production planning integrating procurement and distribution plans in a multi-site environment. International Journal of Production Research, 45(22), 5329–5353.
Khalili-Damghani, K., & Tajik-Khaveh, M. (2015). Solving a multi-objective multi-echelon supply chain logistic design and planning problem by a goal programming approach. International Journal of Management Science and Engineering Management, 10(4), 242–252.
Hafezalkotob, A., Khalili-Damghani, K., & Ghashami, S. S. (2016). A three-echelon multi-objective multi-period multi-product supply chain network design problem: A goal programming approach. Journal of Optimization in Industrial Engineering, 10(21), 67–78.
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Badhotiya, G.K., Soni, G., Mittal, M.L. (2020). A Pre-emptive Goal Programming Model for Multi-site Production and Distribution Planning. In: Pant, M., Sharma, T., Basterrech, S., Banerjee, C. (eds) Performance Management of Integrated Systems and its Applications in Software Engineering. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-8253-6_7
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