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Application of goal programming in the textile apparel industry to resolve production planning problems : a meta-goal programming technique using weights

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the present business environment, rapidly developing technology and the competitive world market pose challenges to the available assets of industries. Hence, industries need to allocate and use available assets at the optimum level. Thus, industrialists must create a good decision plan to guide their performance in the production sector. As a result, the present study applies the Meta-Goal Programming technique to attain several objectives simultaneously in the textile production sector. The importance of this study lies in pursuing different objectives simultaneously, which has been almost ignored till now. The production scheduling problem in a textile firm is used to illustrate the practicability and mathematical validity of the suggested approach. Analysis of the results obtained demonstrates that the solution met all three meta-goals with some original goals being met partially. An analysis of the sensitivity of the approach to the weights of the preferences was conducted.
Rocznik
Strony
74--88
Opis fizyczny
Bibliogr. 35 poz., rys.
Twórcy
  • Department of Mathematics, M. B. Govt. P. G. College Haldwani (Kumaun University, Nainital, Uttarakhand)
autor
  • Department of Mathematics, M. B. Govt. P. G. College Haldwani (Kumaun University, Nainital, Uttarakhand)
  • Department of Mathematics, M. B. Govt. P. G. College Haldwani (Kumaun University, Nainital, Uttarakhand)
autor
  • Department of Mathematics, M. B. Govt. P. G. College Haldwani (Kumaun University, Nainital, Uttarakhand)
Bibliografia
  • [1] Aboumasoudi, A. S., Mirzamohammadi, S., Makui, A., and Tamošaitiene, J. ˙ Development of network-ranking model to create the best production line value chain: A case study in textile industry. Economic Computation and Economic Cybernetics Studies and Research 50, 1 (2016), 215–233.
  • [2] Adugna, K. E., Thakur, A., Haregot, N., and Gebreyesus, A. Case study on profit planning of textile industry using nlinear programming approach case study on profit planning of textile industry using linear programming approach. REST Journal on Emerging trends in Modelling and Manufacturing 2, 1 (2016), 1–9.
  • [3] Bakator, M., Ćoćkalo, Ž., D., and Vorkapić, M. Lean manufacturing principles for improving productivity in the textile industry. In Proceedings of the 9th International Scientific - Profesional Conference, Textile Science and Economy IX, Zrenjan, Serbia (2018), pp. 139–145.
  • [4] Baykasoğlu, A., Gölcük, İ., and Akyol, D. E. A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies. Annals of Operations Research 251, 1 (2017), 205–242.
  • [5] Broz, D., Vanzetti, N., Corsano, G., and Montagna, J. M. Goal programming application for the decision suport in the daily production planning of sawmills. Forest Policy and Economics 102, C (2019), 29–40.
  • [6] Campo, E. A., Cano, J. A. C., and Gómez-Montoya, R. A. Linear programming for aggregate production planning in a textile company. Fibres and Textiles in Eastern Europe 26, 5(131) (2018), 13–19.
  • [7] Chang, C.-T., Chen, H.-M., and Zhuang, Z.-Y. Revised multi-segment goal programming: Percentage goal programming. Computers and Industrial Engineering 63, 4 (2012), 1235–1242.
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  • [9] Chang, C.-T., and Zhuang, Z.-Y. The different ways of using utility function with multi-choice goal programming. In Transactions on Engineering Technologies (Dordrecht, 2014), G.-C. Yang, S.-I. Ao, X. Huang, and O. Castillo, Eds., Springer Netherlands, pp. 407–417.
  • [10] Elamvazuthi, I., Ganesan, T., Vasant, P., and Webb, J. F. Application of a fuzzy programming technique to production planning in the textile industry. International Journal of Computer Science and Information Security 6, 3 (2010), 238–243.
  • [11] Ezra, P. N., Oladugba, A. V., Ohanuba, F. O., and Opara, P. N. Goal optimization of a pastry company. American Journal of Operational Research 10, 1 (2020), 17–21.
  • [12] Ferro, R., Cordeiro, G. A., Ordóñez, R. E. C., Beydoun, G., and Shukla, N. An optimization tool for production planning: A case study in a textile industry. Applied Sciences 11, 18 (2021), 1–15.
  • [13] Goel, D., Shah, D., and Somani, D. A linear programming approach to maximize profit and minimize waste in a hospital products manufacturing firm- Global Services Ltd. Journal of Emerging Technologies and Innovative Research 5, 10 (2018), 271–277.
  • [14] Harianto, R. A. Optimization of woven fabric production in textile industry of pt. argo pantes tangerang. International Journal of Advanced Scientific Research and Development 5, 4 (2018), 70–76.
  • [15] Jyoti, and Mannan, H. Goal programming: an application to financial estimation of and organization / institution. ELK Asia Pacific Journal of Finance, and Risk Management 7, 1 (2016), 1–15.
  • [16] Karacapilidis, N. I., and Pappis, C. P. Production planning and control in textile industry: A case study. Computers in Industry 30, 2 (1996), 127–144.
  • [17] Karunanithi, B., Bogeshwaran, K., and Srividhya, M. Optimization techniques applied to the garment industries. Man-Made Textiles in India 47, 8 (2019), 268–273.
  • [18] Khan, M. M. Implementation of modern garment planning tools and techniques in garment industry of bangladesh. International Journal of Engineering and Advanced Technology Studies 4, 3 (2016), 31–44.
  • [19] Kimutai, I., Maina, P., and Makokha, A. Energy optimization model using linear programming for process industry: A case study of textile manufacturing plant in Kenya. International Journal of Energy Engineering 9, 2 (2019), 45–52.
  • [20] Kumar, V. JIT based quality management: Concepts and implications in Indian context. International Journal of Engineering Science and Technology 2, 1 (2010), 40–50.
  • [21] Lin, H.-W., Nagalingam, S., and Chiu, M. Development of a dynamic task rescheduling approach for small and medium manufacturing enterprises. In Proceedings of the Eight International Conference on Manufacturing and Management, Queensland, Australia (2004).
  • [22] Orumie, U. C., and Ebong, D. A glorious literature on linear goal programming algorithms. American Journal of Operations Research 4, 2 (2014), 59–71.
  • [23] Rabbani, M., Niyazi, M., and Rafiei, H. Production, technology and capacity planning for textile industry: A case study. Uncertain Supply Chain Management 4, 4 (2016), 277–286.
  • [24] Rodríguez Uría, M. V., Caballero, R., Ruiz, F., and Romero, C. Meta-goal programming. European Journal of Operational Research 136, 2 (2002), 422–429.
  • [25] Shakirullah, F. M., Ahammad, M. U., and Uddin, M. F. Profit optimization of an apparel industry in Bangladesh by linear programming model. American Journal of Applied Mathematics 8, 4 (2020), 182–189.
  • [26] Sumathy, G. B., and Amirthalingam, V. Linear programming approach for workers scheduling in textile industry. Indian Journal of Natural Sciences 12, 67 (2021), 33008–330013.
  • [27] Teke, Ç., Okutkan, C., and Erden, C. Determining the production amounts in textile industry with fuzzy linear programming. International Journal of Engineering and Technology Research 2, 1 (2017), 1–6.
  • [28] Telegin, F. Y., Belokurova, O. A., and Shchitova, N. P. Application of liposomes in the textile industry. Russian Journal of General Chemistry 83, 1 (2013), 214–219.
  • [29] Tesfaye, G., Berhane, T., Zenebe, B., and Asmelash, S. A linear programming method to enhance resource utilization case of Ethiopian apparel sector. International Journal for Quality Research 10, 2 (2016), 421–432.
  • [30] Vasantha Lakshmi, K., Harish Babu, G. A., and Uday Kumar, K. N. Application of goal programming model for optimization of financial planning: Case study of a distribution company. Palestine Journal of Mathematics 10, Special Issue 1 (2021), 144–150.
  • [31] Venkateswarlu, B., Mahaboob, B., Subbarami Reddy, C., and Narayana, C. New results in production theory by applying goal programming. International Journal of Scientific and Technology Research 8, 12 (2019), 1918–1924.
  • [32] Workie, G. W., Alemu, A. B., and Asmelash, S. Application of linear programming techniques to determine the type and quantity of textile dyed fabrics. Research Journal of Science and IT Management - RJSITM 5, 10 (2016), 18–25.
  • [33] Woubante, G. W. The optimization problem of product mix and linear programming applications: Case study in the apparel industry. Open Science Journal 2, 2 (2017), 1–11.
  • [34] Yalçınsoy, A., Zincirkiran, M., and Tiftik, H. Approach of capacity planning through linear programming technique: A practice in textile enterprise. International journal of Innovative Research in Management ISSN 3, 3 (2014), 16–29.
  • [35] Zheng-Yun, Z., and Hocine, A. Meta goal programming approach for solving multi-criteria de Novo programming problem. European Journal of Operational Research 265, 1 (2018), 228–238.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-53ca4662-4c2d-427f-bc5f-d70d78140b44
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