تأثیر برنامه ریزی فروش و عملیات بر عملکرد کلی زنجیرۀ تأمین: مطالعه موردی در صنعت فرمینگ
محورهای موضوعی : مدیریت بازرگانی
مهرداد مدهوشی
1
(
استاد،دپارتمان مدیریت صنعتی،دانشکده علوم اقتصادی ومدیریت،دانشگاه مازندران،بابلسر،ایران
)
عبدالحمید صفایی قادیکلایی
2
(
دانشیار،دپارتمان مدیریت صنعتی،دانشکده علوم اقتصادی و مدیریت،دانشگاه مازندران،بابلسر،ایران
)
یاسر نعمتی
3
(
دانشجوی دکتری مدیریت تولید و عملیات، دپارتمان مدیریت صنعتی، دانشکده علوم اقتصادی و مدیریت،دانشگاه مازندران،بابلسر،ایران
)
کلید واژه: برنامه ریزی فروش و عملیات, برنامه ریزی مختلط اعداد صحیح, تولید برای انبارش, صنعت فرمینگ, مطالعه موردی,
چکیده مقاله :
برنامه ریزی فروش و عملیات[1] امروزه به یک فرایند شناخته شده و پرکاربرد در زنجیرۀ تأمین تبدیل شده است. با این حال تا به امروز، ارزیابی و محاسبه منافع بکارگیری این فرایند مورد غفلت قرارگرفته است. این مقاله، عملکرد فرایند برنامه ریزی فروش و عملیات را از طریق مدل سازی ریاضی مورد ارزیابی قرار می دهد. در این مطالعه، سه مدل برنامه ریزی مختلط اعداد صحیح[2] ارائه شدند که به ترتیب نشان می دهنده: "برنامه ریزی فروش و عملیات کاملاً یکپارچه[3]" که در آن برنامه ریزی فروش، تولید، توزیع و تأمین بصورت متمرکز و یکپارچه انجام می پذیرد؛ "برنامه ریزی فروش و عملیات نسبتاً یکپارچه[4]" که درآن برنامه ریزی فروش و تولید بصورت متمرکز انجام گرفته، درحالی که برنامه ریزی توزیع و تأمین بصورت مجزا در هر سایت انجام می گیرد؛ یک مدل "برنامه ریزی گسسته[5]" که در آن برنامه ریزی فروش به صورت متمرکز انجام شده، در حالی که برنامه ریزی تولید، توزیع و تأمین به صورت مجزا و محلی انجام می گیرد. هرسه مدل مذکور برای یک سیستم تولیدی چندسایتی توسعه داده شده اند که دارای تأمین کنندگان متعدد بوده، محصولات متفاوتی را تولید می کنند و به مشتریان بسیاری سرویس می دهند. در انتها، عملکرد برنامه ریزی فروش و عملیات کاملاً یکپارچه نسبت به دو مدل دیگر، از طریق مقایسه تأثیرات مالی این رویکردها تحت تقاضای ماهانه و قیمت بازار واقعی دریک شرکت تولید صنایع فرمینگ[6] در ایران مورد ارزیابی قرار گرفته است. نتایج، بیانگر برتری مدل برنامه ریزی کاملا یکپارچه نسبت به دو مدل دیگر است. [1].Sales and Operations Planning (S&OP) [2].Mixed Integer Programming (MIP) [3].Fully Integrated S&OP (FI-S&OP) [4].Partially Integrated S&OP (PI-S&OP) [5].Decoupled Planning (DP) [6].Forming Industry
Nowadays, Sales and Operations Planning has become a well-knownand widely used process, yet, up to now, its usefulness has beenneglected. This paper intended to assess the performance process of saleand operation planning through mathematical modelling procedure.Three Mixed Integer Programming (MIP) models have been developedin this study, namely fully integrated (with centralized sales, production,distribution and procurement planning), partially integrated (withcentralized sales and production, but separated procurement anddistribution planning), and decoupled (with centralized sales, butdecentralized production, distribution and procurement planning). Allthree models have been developed for a multi-site manufacturingcompany. The results demonstrated the superiority of fully integratedmodel over the others.
Alavidoost, M., & Nayeri, M. A. (2014), Proposition of a hybrid NSGA-II algorithm with fuzzy objectives for bi-objective assembly line balancing problem. Tenth International Industrial Engineering Conference.
Cecere, L., Hillman, M,.Masson, C. (2006), The handbook of sales and operations planning technologies. AMR Research Report, AMRR-19187, 1–48.
Chandra, P., & Fisher, M. L. (1994), Coordination of production and distribution planning. European Journal of Operational Research, 7, 505-517.
Clark, A. J., Scarf, H. (1960), Optimal policies for a multi-echelon inventory problem. Management Science, 6, 475–490
Cohen, M. A., & Lee, H. L. (1988), Strategic analysis of integrated production-distribution systems: Models and methods. Operations Research, 36(2), 216-228.
Croxton, K. L., Lambert, D. M., García-Dastugue, S. J., & Rogers, D. S. (2002), The demand management process. International Journal of Logistics Management, 13(2), 51-66.
Dhaenens-Flipo, C. (2000), Spatial decomposition for a multi-facility production and distribution problem. International Journal of Production Economics, 64(1), 177-186.
Feng, Y., Martel, A., D'Amours, S., & Beauregard, R. (2013), Coordinated Contract Decisions in a Make-to-Order Manufacturing Supply Chain: A Stochastic Programming Approach. Production and Operations Management, 22(3), 642-660.
Fleischmann, B., Meyr, H., & Wagner, M. (2015), Advanced planning Supply chain management and advanced planning, Berlin Heidelberg.
Fumero, F., & Vercellis, C. (1999), Synchronized development of production, inventory, and distribution schedules. Transportation science, 33(3), 330-340.
Haq, A. N., Vrat, P., & Kanda, A. (1991), An integratedproduction-inventory-distribution model for manufacture of urea: a case. International Journal of Production Economics, 25(1), 39-49.
Klingman, D., Mote, J., & Phillips, N. V. (1988), OR Practice—A Logistics Planning System at WR Grace. Operations Research, 36(6), 811-822.
Maness, T. C., & Norton, S. E. (2002), Multiple period combined optimization approach to forest production planning. Scandinavian Journal of Forest Research, 17(5), 460-471.
Martin, C. H., Dent, D. C., & Eckhart, J. C. (1993), Integrated production, distribution, and inventory planning at Libbey-Owens-Ford. Interfaces, 23(3), 68-78.
Olhager, J., Rudberg, M., & Wikner, J. (2001), Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning. International Journal of Production Economics, 69(2), 215-225.
Ouhimmou, M., D’Amours, S., Beauregard, R., Ait-Kadi, D., & Chauhan, S. S. (2008), Furniture supply chain tactical planning optimization using a time decomposition approach. European Journal of Operational Research, 189(3), 952-970.
Park, Y. (2005), An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research, 43(6), 1205-1224.
Rizk, N., Martel, A&,.D’Amours, S. (2006), Multi-item dynamic production-distribution planning in process industries with divergent finishing stages. Computers & operations research, 33(12), 3600-3623.
Wahlers, J. L., & Cox III, J. F. (1994), Competitive factors and performance measurement: applying the theory of constraints to meet customer needs. International Journal of Production Economics, 37(2), 229-240.
Wallace, T. F. (2004), Sales & operations planning: the" how-to" handbook: T.F. Wallace & Company.
Wang, J.-Z., Hsieh, S.T., & Hsu, P.Y. (2012), Advanced sales and operations planning framework in a company supply chain. International Journal of Computer Integrated Manufacturing, 25(3), 248-262.
Williams, J. F. (1983), A hybrid algorithm for simultaneous schedulingof production and distribution in multi-echelon structures. Management Science, 29(1), 77-92.
Youssef, M. A., & Mahmoud, M. M. (1996), An iterative procedure for solving the uncapacitated production-distribution problem under concave cost function. International Journal of Operations & Production Management, 16(3), 18-27.
_||_Alavidoost, M., & Nayeri, M. A. (2014), Proposition of a hybrid NSGA-II algorithm with fuzzy objectives for bi-objective assembly line balancing problem. Tenth International Industrial Engineering Conference.
Cecere, L., Hillman, M,.Masson, C. (2006), The handbook of sales and operations planning technologies. AMR Research Report, AMRR-19187, 1–48.
Chandra, P., & Fisher, M. L. (1994), Coordination of production and distribution planning. European Journal of Operational Research, 7, 505-517.
Clark, A. J., Scarf, H. (1960), Optimal policies for a multi-echelon inventory problem. Management Science, 6, 475–490
Cohen, M. A., & Lee, H. L. (1988), Strategic analysis of integrated production-distribution systems: Models and methods. Operations Research, 36(2), 216-228.
Croxton, K. L., Lambert, D. M., García-Dastugue, S. J., & Rogers, D. S. (2002), The demand management process. International Journal of Logistics Management, 13(2), 51-66.
Dhaenens-Flipo, C. (2000), Spatial decomposition for a multi-facility production and distribution problem. International Journal of Production Economics, 64(1), 177-186.
Feng, Y., Martel, A., D'Amours, S., & Beauregard, R. (2013), Coordinated Contract Decisions in a Make-to-Order Manufacturing Supply Chain: A Stochastic Programming Approach. Production and Operations Management, 22(3), 642-660.
Fleischmann, B., Meyr, H., & Wagner, M. (2015), Advanced planning Supply chain management and advanced planning, Berlin Heidelberg.
Fumero, F., & Vercellis, C. (1999), Synchronized development of production, inventory, and distribution schedules. Transportation science, 33(3), 330-340.
Haq, A. N., Vrat, P., & Kanda, A. (1991), An integratedproduction-inventory-distribution model for manufacture of urea: a case. International Journal of Production Economics, 25(1), 39-49.
Klingman, D., Mote, J., & Phillips, N. V. (1988), OR Practice—A Logistics Planning System at WR Grace. Operations Research, 36(6), 811-822.
Maness, T. C., & Norton, S. E. (2002), Multiple period combined optimization approach to forest production planning. Scandinavian Journal of Forest Research, 17(5), 460-471.
Martin, C. H., Dent, D. C., & Eckhart, J. C. (1993), Integrated production, distribution, and inventory planning at Libbey-Owens-Ford. Interfaces, 23(3), 68-78.
Olhager, J., Rudberg, M., & Wikner, J. (2001), Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning. International Journal of Production Economics, 69(2), 215-225.
Ouhimmou, M., D’Amours, S., Beauregard, R., Ait-Kadi, D., & Chauhan, S. S. (2008), Furniture supply chain tactical planning optimization using a time decomposition approach. European Journal of Operational Research, 189(3), 952-970.
Park, Y. (2005), An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research, 43(6), 1205-1224.
Rizk, N., Martel, A&,.D’Amours, S. (2006), Multi-item dynamic production-distribution planning in process industries with divergent finishing stages. Computers & operations research, 33(12), 3600-3623.
Wahlers, J. L., & Cox III, J. F. (1994), Competitive factors and performance measurement: applying the theory of constraints to meet customer needs. International Journal of Production Economics, 37(2), 229-240.
Wallace, T. F. (2004), Sales & operations planning: the" how-to" handbook: T.F. Wallace & Company.
Wang, J.-Z., Hsieh, S.T., & Hsu, P.Y. (2012), Advanced sales and operations planning framework in a company supply chain. International Journal of Computer Integrated Manufacturing, 25(3), 248-262.
Williams, J. F. (1983), A hybrid algorithm for simultaneous schedulingof production and distribution in multi-echelon structures. Management Science, 29(1), 77-92.
Youssef, M. A., & Mahmoud, M. M. (1996), An iterative procedure for solving the uncapacitated production-distribution problem under concave cost function. International Journal of Operations & Production Management, 16(3), 18-27.
