Optimizing production planning efficiency and sustainability using multi-objective decision making and goal programming
DOI:
https://doi.org/10.35335/emod.v16i3.65Keywords:
Efficiency, Goal Programming, Multi-Objective Decision Making, Production Planning, SustainabilityAbstract
Optimization of production planning efficiency and sustainability is crucial for organizations aiming to achieve operational excellence while minimizing their environmental footprint. This research proposes a novel approach that combines Goal Programming and Multiple Criteria Decision Making (MCDM) techniques to address the multi-objective nature of production planning. The study develops a mathematical formulation that considers objectives such as production efficiency, cost minimization, environmental impact reduction, and adherence to sustainability targets. A decision support system is designed to assist decision-makers in evaluating trade-offs and identifying the most suitable compromise solution. The research employs a numerical example to demonstrate the effectiveness of the proposed approach, showcasing how production quantities and sustainability practices can be optimized. The results highlight the ability of the approach to strike a balance between efficiency and sustainability, providing decision-makers with a comprehensive framework to make informed decisions aligned with sustainability goals. This research contributes to the existing literature by offering a practical methodology that enhances production planning processes, leading to more sustainable and efficient operations
References
Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production, 229, 761–774.
Bartke, S., & Schwarze, R. (2015). No perfect tools: Trade-offs of sustainability principles and user requirements in designing support tools for land-use decisions between greenfields and brownfields. Journal of Environmental Management, 153, 11–24.
Bilbao-Terol, A., Jiménez, M., & Arenas-Parra, M. (2016). A group decision making model based on goal programming with fuzzy hierarchy: an application to regional forest planning. Annals of Operations Research, 245, 137–162.
Brockhaus, S., Fawcett, S. E., Knemeyer, A. M., & Fawcett, A. M. (2017). Motivations for environmental and social consciousness: Reevaluating the sustainability-based view. Journal of Cleaner Production, 143, 933–947.
Colapinto, C., Jayaraman, R., & Marsiglio, S. (2017). Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review. Annals of Operations Research, 251, 7–40.
Dai, M., Tang, D., Giret, A., & Salido, M. A. (2019). Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints. Robotics and Computer-Integrated Manufacturing, 59, 143–157.
Fang, L., & Li, H. (2015). Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming. RAIRO-Operations Research-Recherche Opérationnelle, 49(4), 753–772.
Ford, S., & Despeisse, M. (2016). Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. Journal of Cleaner Production, 137, 1573–1587.
Gholamian, N., Mahdavi, I., & Tavakkoli-Moghaddam, R. (2016). Multi-objective multi-product multi-site aggregate production planning in a supply chain under uncertainty: fuzzy multi-objective optimisation. International Journal of Computer Integrated Manufacturing, 29(2), 149–165.
Giret, A., Trentesaux, D., & Prabhu, V. (2015). Sustainability in manufacturing operations scheduling: A state of the art review. Journal of Manufacturing Systems, 37, 126–140.
Gupta, P., Mehlawat, M. K., Yadav, S., & Kumar, A. (2019). A polynomial goal programming approach for intuitionistic fuzzy portfolio optimization using entropy and higher moments. Applied Soft Computing, 85, 105781.
Hahn, T., Figge, F., Pinkse, J., & Preuss, L. (2018). A paradox perspective on corporate sustainability: Descriptive, instrumental, and normative aspects. Journal of Business Ethics, 148, 235–248.
Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection. SpringerPlus, 5(1), 1–17.
Hauschild, M. Z., McKone, T. E., Arnbjerg-Nielsen, K., Hald, T., Nielsen, B. F., Mabit, S. E., & Fantke, P. (2022). Risk and sustainability: trade-offs and synergies for robust decision making. Environmental Sciences Europe, 34(1), 11.
He, B., Li, F., Cao, X., & Li, T. (2020). Product sustainable design: a review from the environmental, economic, and social aspects. Journal of Computing and Information Science in Engineering, 20(4), 40801.
Ho, H.-P. (2019). The supplier selection problem of a manufacturing company using the weighted multi-choice goal programming and MINMAX multi-choice goal programming. Applied Mathematical Modelling, 75, 819–836.
Hocine, A., Kouaissah, N., Bettahar, S., & Benbouziane, M. (2018). Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach. Renewable Energy, 129, 540–552.
Ilgin, M. A., Gupta, S. M., & Battaïa, O. (2015). Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art. Journal of Manufacturing Systems, 37, 746–758.
Kanter, D. R., Musumba, M., Wood, S. L. R., Palm, C., Antle, J., Balvanera, P., Dale, V. H., Havlik, P., Kline, K. L., & Scholes, R. J. (2018). Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems, 163, 73–88.
Kiran, D. R. (2019). Production planning and control: A comprehensive approach. Butterworth-heinemann.
Kravchenko, M., Pigosso, D. C. A., & McAloone, T. C. (2020). A trade-off navigation framework as a decision support for conflicting sustainability indicators within circular economy implementation in the manufacturing industry. Sustainability, 13(1), 314.
Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596–609.
Ledwith, M. C., Hufstetler, B. J., & Gallagher, M. A. (2021). Stochastic preemptive goal programming to balance goal achievements under uncertainty. Journal of Multi‐Criteria Decision Analysis, 28(1–2), 85–98.
Li, Y., Soleimani, H., & Zohal, M. (2019). An improved ant colony optimization algorithm for the multi-depot green vehicle routing problem with multiple objectives. Journal of Cleaner Production, 227, 1161–1172.
Lin, J., Liu, M., Hao, J., & Jiang, S. (2016). A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry. Computers & Operations Research, 72, 189–203.
Lohmer, J., & Lasch, R. (2021). Production planning and scheduling in multi-factory production networks: a systematic literature review. International Journal of Production Research, 59(7), 2028–2054.
Lokuwaduge, C. S. D. S., & Heenetigala, K. (2017). Integrating environmental, social and governance (ESG) disclosure for a sustainable development: An Australian study. Business Strategy and the Environment, 26(4), 438–450.
Luthra, S., Mangla, S. K., Shankar, R., Prakash Garg, C., & Jakhar, S. (2018). Modelling critical success factors for sustainability initiatives in supply chains in Indian context using Grey-DEMATEL. Production Planning & Control, 29(9), 705–728.
Mansouri, S. A., Lee, H., & Aluko, O. (2015). Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions. Transportation Research Part E: Logistics and Transportation Review, 78, 3–18.
Marshall, D., McCarthy, L., Heavey, C., & McGrath, P. (2015). Environmental and social supply chain management sustainability practices: construct development and measurement. Production Planning & Control, 26(8), 673–690.
Martinez-Rico, J., Zulueta, E., de Argandoña, I. R., Fernandez-Gamiz, U., & Armendia, M. (2020). Multi-objective optimization of production scheduling using particle swarm optimization algorithm for hybrid renewable power plants with battery energy storage system. Journal of Modern Power Systems and Clean Energy, 9(2), 285–294.
Mönch, L., Uzsoy, R., & Fowler, J. W. (2018). A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment. International Journal of Production Research, 56(13), 4565–4584.
Monghasemi, S., Nikoo, M. R., Fasaee, M. A. K., & Adamowski, J. (2015). A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects. Expert Systems with Applications, 42(6), 3089–3104.
Naik, M. G., Kishore, R., & Dehmourdi, S. A. M. (2021). Modeling a multi-criteria decision support system for prequalification assessment of construction contractors using CRITIC and EDAS models. Operational Research in Engineering Sciences: Theory and Applications, 4(2), 79–101.
Nikghadam, S., Sadigh, B. L., Ozbayoglu, A. M., Unver, H. O., & Kilic, S. E. (2016). A survey of partner selection methodologies for virtual enterprises and development of a goal programming–based approach. The International Journal of Advanced Manufacturing Technology, 85, 1713–1734.
Ortiz‐de‐Mandojana, N., Bansal, P., & Aragón‐Correa, J. A. (2019). Older and wiser: How CEOs’ time perspective influences long‐term investments in environmentally responsible technologies. British Journal of Management, 30(1), 134–150.
Ransikarbum, K., Pitakaso, R., & Kim, N. (2020). A decision-support model for additive manufacturing scheduling using an integrative analytic hierarchy process and multi-objective optimization. Applied Sciences, 10(15), 5159.
Razmak, J., & Aouni, B. (2015). Decision support system and multi‐criteria decision aid: a state of the art and perspectives. Journal of Multi‐Criteria Decision Analysis, 22(1–2), 101–117.
Santos, J., Ferreira, A., & Flintsch, G. (2017). A multi-objective optimization-based pavement management decision-support system for enhancing pavement sustainability. Journal of Cleaner Production, 164, 1380–1393.
Sarkis, J., & Zhu, Q. (2018). Environmental sustainability and production: taking the road less travelled. International Journal of Production Research, 56(1–2), 743–759.
Singh, R., Reed, P. M., & Keller, K. (2015). Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response. Ecology and Society, 20(3).
Tan, T., Mills, G., Papadonikolaki, E., & Liu, Z. (2021). Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review. Automation in Construction, 121, 103451.
Tenhiälä, A., & Helkiö, P. (2015). Performance effects of using an ERP system for manufacturing planning and control under dynamic market requirements. Journal of Operations Management, 36, 147–164.
Thomson, A. M., Ellis, E. C., Grau, He. R., Kuemmerle, T., Meyfroidt, P., Ramankutty, N., & Zeleke, G. (2019). Sustainable intensification in land systems: trade-offs, scales, and contexts. Current Opinion in Environmental Sustainability, 38, 37–43.
Vagiona, D. G. (2021). Comparative Multicriteria Analysis methods for ranking sites for solar farm deployment: A Case study in Greece. Energies, 14(24), 8371.
Wichapa, N., & Khokhajaikiat, P. (2017). Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers. Operations Research Perspectives, 4, 39–48.
Xiao, Y., & Konak, A. (2017). A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem. Journal of Cleaner Production, 167, 1450–1463.
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Copyright (c) 2022 Eileen Haas Jung, Aschari Reinhard Laamanen
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