Subject Areas : Operations Management
Hassan Babaei 1 , Hassan Mehrmanesh 2 , Hossein Moeinzad 3
1 -
2 -
3 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Keywords:
Abstract :
References:
1. Aiassi, R. (2020). Designing a stochastic multi-objective simulation-based optimization model for sales and operations planning in built-to-order environment with uncertain distant outsourcing. Simulation Modelling Practice and Theory.
2. Almeida, J. F. F., Conceição, S. V., Pinto, L. R., Oliveira, B. R. P., & Rodrigues, L. F. (2022). Optimal sales and operations planning for integrated steel industries. Annals of Operations Research.
3. Albrecht, W., & Steinrücke, M. (2020). Continuous-time scheduling of production, distribution and sales in photovoltaic supply chains with declining prices. Flexible Services and Manufacturing Journal.
4. Ambrose, S. C., Matthews, L. M., & Rutherford, B. N. (2018). Cross-functional teams and social identity theory: A study of sales and operations planning (S&OP). Journal of Business Research.
5. Bagni, G. (2022). Sales and operations planning for new products: A parallel process? International Journal of Physical Distribution and Logistics Management.
6. Balslev Munksgaard, K., Stentoft, J., & Paulraj, A. (2014). Value-based supply chain innovation. Operations Management Research.
7. Barcellos, P. F. P., & Rampon Neto, J. (2022). Challenges of implementing S&OP in a mid-sized automotive components company: An action research approach. Systemic Practice and Action Research.
8. Chae, B. (2013). Business analytics for supply chain: A dynamic-capabilities framework. International Journal of Information Technology and Decision Making.
9. Danese, P. (2018). Managing evolutionary paths in sales and operations planning: Key dimensions and sequences of implementation. International Journal of Production Research.
10. Darmawan, A. (2020). Integrated sales and operations planning with multiple products: Jointly optimizing the number and timing of promotions and production decisions. Applied Mathematical Modelling.
11. Dreyer, H. C., Kiil, K., Dukovska-Popovska, I., & Kaipia, R. (2018). Proposals for enhancing tactical planning in grocery retailing with S&OP. International Journal of Physical Distribution & Logistics Management.
12. Elbanna, A. (2013). Top management support in multiple-project environments: An in-practice view. European Journal of Information Systems.
13. Farias, F. (2019). Towards the methodology for the implementation of sales: Forecast model to sustain the sales and operations planning process. Advances in Intelligent Systems and Computing.
14. Feng, Y. (2012). Coordinated contract decisions in a make-to-order manufacturing supply chain: A stochastic programming approach. Production and Operations Management.
15. Figueira, J., Greco, S., & Mousseau, V. (2013). Multiple criteria decision analysis: Methods and software. Springer.
16. Gallego-García, S. (2021). Predictive sales and operations planning based on a statistical treatment of demand to increase efficiency: A supply chain simulation case study. Applied Sciences (Switzerland).
17. Goh, S. H. (2022). Sales and operations planning culture and supply chain performance: The mediating effects of five coordination mechanisms. Production Planning and Control.
18. Goh, S. H., & Kundu, G. K. (2021). Intelligent ERP for SCM agility and graph theory technique for adaptation in automotive industry in India. International Journal of System Assurance Engineering and Management.
19. Guerra-Lupaca, E. (2022). Sales & operations planning and EOQ model to increase dispatch effectiveness: Explosives Company. International Conference on Information Management.
20. Hajek, P., Alam, E., Abedin, M. Z., Azad, R. U., Jaber, M. A., Aditya, S., & Hassan, M. K. (2022). Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. Annals of Operations Research.
21. Hasani, R. (2017). A computational model for sales forecasting in the retail industry. International Journal of Operations & Production Management.
22. Hosseinnia Shavaki, F., & Ebrahimi Ghahnavieh, A. (2022). Applications of deep learning into supply chain management: A systematic literature review and a framework for future research. Artificial Intelligence Review.
23. Hsieh, S. T., Hsu, P. Y., & Wang, J. Z. (2012). Advanced sales and operations planning framework in a company supply chain. International Journal of Computer Integrated Manufacturing.
24. Hübl, A., & Fischer, G. (2017). Simulation-based business game for teaching methods in logistics and production. 2017 Winter Simulation Conference (WSC).
25. Ivert, L. K., & Jonsson, P. (2014). When should advanced planning and scheduling systems be used in sales and operations planning? International Journal of Operations & Production Management.
26. Ivert, L. K., Dukovska-Popovska, I., Kaipia, R., Fredriksson, A., Dreyer, H. C., Johansson, M. I., Chabada, L., Damgaard, C. M., & Tuomikangas, N. (2015). Sales and operations planning: Responding to the needs of industrial food producers. Production Planning & Control.
27. Jansen, M. M., de Kok, T. G., & Fransoo, J. C. (2013). Lead time anticipation in supply chain operations planning. OR Spectrum.
28. Jonsson, P., Kaipia, R., & Barratt, M. (2021). Guest editorial: The future of S&OP: Dynamic complexity, ecosystems and resilience. International Journal of Physical Distribution & Logistics Management.
29. Kim, M. (2019). Demand forecasting based on machine learning for mass customization in smart manufacturing. ACM International Conference Proceeding Series.
30. Kreuter, T., Scavarda, L. F., Thomé, A. M. T., & Hellingrath, B. (2021). Global sales and operations planning: A multinational manufacturing company perspective. PloS One.
31. Kreuter, T. (2021). Developing and implementing contextualised S&OP designs – An enterprise architecture management approach. International Journal of Physical Distribution and Logistics Management.
32. Lahloua, N. (2018). Sales and operations planning (S&OP) concepts and models under constraints: Literature review. International Journal of Engineering Research in Africa.
33. Lim, L. L. (2017). A simulation-optimization approach for sales and operations planning in build-to-order industries with distant sourcing: Focus on the automotive industry. Computers and Industrial Engineering.
34. Matsebatlela, M. G., & Mpofu, K. (2015). Inventory management framework to minimize supply and demand mismatch on a manufacturing organization. IFAC-PapersOnLine.
35. Mohammadi, A. (2017). Enhancing sales and operations planning: An analytical framework and literature review. International Journal of Production Research.
36. Munksgaard Balslev, K., Stentoft, J., & Paulraj, A. (2014). Value-based supply chain innovation. Operations Management Research.
37. Nemati, Y., & Alavidoost, M. H. (2019). A fuzzy bi-objective MILP approach to integrate sales, production, distribution and procurement planning in a FMCG supply chain. Soft Computing.
38. Noroozi, S. (2017). Sales and operations planning in the process industry: A literature review. International Journal of Production Economics.
39. Oliveira, B. R. P., Almeida, J. F. F., Pinto, L. R., Conceição, S. V., & Rodrigues, L. F. (2022). Optimal sales and operations planning for integrated steel industries. Annals of Operations Research.
40. Olhager, J. (2013). Evolution of operations planning and control: From production to supply chains. International Journal of Production Research.
41. Paredes-Torres, F. (2021). Collaborative model to reduce stock breaks in the Peruvian retail sector by applying the S&OP methodology. Advances in Intelligent Systems and Computing.
42. Paulraj, A. (2015). The role of executive management support in organizational performance in new product development processes. Journal of Business Research.
43. Plank, E. R., & Hooker, R. (2014). Sales and operations planning: Using the internet and internet-based tools to further supply chain integration. Journal of Research in Interactive Marketing.
44. Prashar, A. (2022). Production planning and control in industry 4.0 environment: A morphological analysis of literature and research agenda. Journal of Intelligent Manufacturing.
45. Rappold, J. (2014). Setting safety stocks for stable rotation cycle schedules. International Journal of Production Economics.
46. Roscoe, S., Subramanian, N., Prifti, R., & Wu, L. (2020). Stakeholder engagement in a sustainable sales and operations planning process. Business Strategy and the Environment.
47. Schlegel, A. (2020). Enabling integrated business planning through big data analytics: A case study on sales and operations planning. International Journal of Physical Distribution and Logistics Management.
48. Seeling, M. X., Kreuter, T., Scavarda, L. F., Thomé, A. M. T., & Hellingrath, B. (2021). Global sales and operations planning: A multinational manufacturing company perspective. PloS One.
49. Stüve, D. (2022). A systematic literature review of modelling approaches and implementation of enabling software for supply chain planning in the food industry. Production and Manufacturing Research.
50. Tliba, K., Diallo, T. M. L., Penas, O., Ben Khalifa, R., Ben Yahia, N., & Choley, J. Y. (2022). Digital twin-driven dynamic scheduling of a hybrid flow shop. Journal of Intelligent Manufacturing.
51. Thomé, A. M. T. (2013). Sales and operations planning impact on manufacturing operational performance. International Journal of Production Research.
52. Tuomikangas, N., & Kaipia, R. (2014). A coordination framework for sales and operations planning (S&OP): Synthesis from the literature. International Journal of Production Economics.
53. Vereecke, A. (2018). Mind the gap – Assessing maturity of demand planning, a cornerstone of S&OP. International Journal of Operations and Production Management.
54. 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.
55. Wagner, S. M., Ullrich, K. K. R., & Transchel, S. (2014). The game plan for aligning the organization. Business Horizons.
56. Wolfshorndl, D. A., Vivaldini, M., & De Camargo Junior, J. B. (2020). Advanced planning system as support for sales and operation planning: Study in a Brazilian automaker. Global Journal of Flexible Systems Management.
57. Wery, J., Gaudreault, J., & Thomas, A. (2018). Simulation-optimisation based framework for sales and operations planning taking into account new products opportunities in a co-production context. Computers in Industry.
58. Zhai, F., & Wang, H. (2015). Research on the combination of sales forecasting and operations planning based on data mining. International Journal of Management.
59. Zhai, W. (2020). Sales forecasting and planning with artificial intelligence: A comprehensive survey. The Journal of Supercomputing.
60. Zohar, D. (2018). The future of sales forecasting: An empirical investigation of its practices and challenges. Decision Support Systems.
61. Zolghadri, M., Jamali, S., & Nasiri, A. (2017). An integrated approach for sales and operations planning in supply chain: A case study of food industry in Iran. Applied Soft Computing.
62. Zuxuan, H., & Poon, S. (2017). Enterprise performance assessment based on sales and operations planning process. International Journal of Operations and Production Management.
63. Zuxuan, H., & Poon, S. (2016). Multi-objective optimization model for sales and operations planning in supply chain: Insights from a case study. Journal of Manufacturing Science and Engineering.
64. Zuxuan, H., & Poon, S. (2015). A review of sales and operations planning in the field of supply chain management. International Journal of Production Research.
65. Zuxuan, H., & Poon, S. (2014). Practical implementation strategy for sales and operations planning in supply chains: A framework based on a case study. Journal of Business Research.
66. Zuxuan, H., & Poon, S. (2013). The value of sales and operations planning: Current issues and future directions. Supply Chain Management: An International Journal.
1. Aiassi, R. (2020). Designing a stochastic multi-objective simulation-based optimization model for sales and operations planning in built-to-order environment with uncertain distant outsourcing. Simulation Modelling Practice and Theory.
2. Almeida, J. F. F., Conceição, S. V., Pinto, L. R., Oliveira, B. R. P., & Rodrigues, L. F. (2022). Optimal sales and operations planning for integrated steel industries. Annals of Operations Research.
3. Albrecht, W., & Steinrücke, M. (2020). Continuous-time scheduling of production, distribution and sales in photovoltaic supply chains with declining prices. Flexible Services and Manufacturing Journal.
4. Ambrose, S. C., Matthews, L. M., & Rutherford, B. N. (2018). Cross-functional teams and social identity theory: A study of sales and operations planning (S&OP). Journal of Business Research.
5. Bagni, G. (2022). Sales and operations planning for new products: A parallel process? International Journal of Physical Distribution and Logistics Management.
6. Balslev Munksgaard, K., Stentoft, J., & Paulraj, A. (2014). Value-based supply chain innovation. Operations Management Research.
7. Barcellos, P. F. P., & Rampon Neto, J. (2022). Challenges of implementing S&OP in a mid-sized automotive components company: An action research approach. Systemic Practice and Action Research.
8. Chae, B. (2013). Business analytics for supply chain: A dynamic-capabilities framework. International Journal of Information Technology and Decision Making.
9. Danese, P. (2018). Managing evolutionary paths in sales and operations planning: Key dimensions and sequences of implementation. International Journal of Production Research.
10. Darmawan, A. (2020). Integrated sales and operations planning with multiple products: Jointly optimizing the number and timing of promotions and production decisions. Applied Mathematical Modelling.
11. Dreyer, H. C., Kiil, K., Dukovska-Popovska, I., & Kaipia, R. (2018). Proposals for enhancing tactical planning in grocery retailing with S&OP. International Journal of Physical Distribution & Logistics Management.
12. Elbanna, A. (2013). Top management support in multiple-project environments: An in-practice view. European Journal of Information Systems.
13. Farias, F. (2019). Towards the methodology for the implementation of sales: Forecast model to sustain the sales and operations planning process. Advances in Intelligent Systems and Computing.
14. Feng, Y. (2012). Coordinated contract decisions in a make-to-order manufacturing supply chain: A stochastic programming approach. Production and Operations Management.
15. Figueira, J., Greco, S., & Mousseau, V. (2013). Multiple criteria decision analysis: Methods and software. Springer.
16. Gallego-García, S. (2021). Predictive sales and operations planning based on a statistical treatment of demand to increase efficiency: A supply chain simulation case study. Applied Sciences (Switzerland).
17. Goh, S. H. (2022). Sales and operations planning culture and supply chain performance: The mediating effects of five coordination mechanisms. Production Planning and Control.
18. Goh, S. H., & Kundu, G. K. (2021). Intelligent ERP for SCM agility and graph theory technique for adaptation in automotive industry in India. International Journal of System Assurance Engineering and Management.
19. Guerra-Lupaca, E. (2022). Sales & operations planning and EOQ model to increase dispatch effectiveness: Explosives Company. International Conference on Information Management.
20. Hajek, P., Alam, E., Abedin, M. Z., Azad, R. U., Jaber, M. A., Aditya, S., & Hassan, M. K. (2022). Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. Annals of Operations Research.
21. Hasani, R. (2017). A computational model for sales forecasting in the retail industry. International Journal of Operations & Production Management.
22. Hosseinnia Shavaki, F., & Ebrahimi Ghahnavieh, A. (2022). Applications of deep learning into supply chain management: A systematic literature review and a framework for future research. Artificial Intelligence Review.
23. Hsieh, S. T., Hsu, P. Y., & Wang, J. Z. (2012). Advanced sales and operations planning framework in a company supply chain. International Journal of Computer Integrated Manufacturing.
24. Hübl, A., & Fischer, G. (2017). Simulation-based business game for teaching methods in logistics and production. 2017 Winter Simulation Conference (WSC).
25. Ivert, L. K., & Jonsson, P. (2014). When should advanced planning and scheduling systems be used in sales and operations planning? International Journal of Operations & Production Management.
26. Ivert, L. K., Dukovska-Popovska, I., Kaipia, R., Fredriksson, A., Dreyer, H. C., Johansson, M. I., Chabada, L., Damgaard, C. M., & Tuomikangas, N. (2015). Sales and operations planning: Responding to the needs of industrial food producers. Production Planning & Control.
27. Jansen, M. M., de Kok, T. G., & Fransoo, J. C. (2013). Lead time anticipation in supply chain operations planning. OR Spectrum.
28. Jonsson, P., Kaipia, R., & Barratt, M. (2021). Guest editorial: The future of S&OP: Dynamic complexity, ecosystems and resilience. International Journal of Physical Distribution & Logistics Management.
29. Kim, M. (2019). Demand forecasting based on machine learning for mass customization in smart manufacturing. ACM International Conference Proceeding Series.
30. Kreuter, T., Scavarda, L. F., Thomé, A. M. T., & Hellingrath, B. (2021). Global sales and operations planning: A multinational manufacturing company perspective. PloS One.
31. Kreuter, T. (2021). Developing and implementing contextualised S&OP designs – An enterprise architecture management approach. International Journal of Physical Distribution and Logistics Management.
32. Lahloua, N. (2018). Sales and operations planning (S&OP) concepts and models under constraints: Literature review. International Journal of Engineering Research in Africa.
33. Lim, L. L. (2017). A simulation-optimization approach for sales and operations planning in build-to-order industries with distant sourcing: Focus on the automotive industry. Computers and Industrial Engineering.
34. Matsebatlela, M. G., & Mpofu, K. (2015). Inventory management framework to minimize supply and demand mismatch on a manufacturing organization. IFAC-PapersOnLine.
35. Mohammadi, A. (2017). Enhancing sales and operations planning: An analytical framework and literature review. International Journal of Production Research.
36. Munksgaard Balslev, K., Stentoft, J., & Paulraj, A. (2014). Value-based supply chain innovation. Operations Management Research.
37. Nemati, Y., & Alavidoost, M. H. (2019). A fuzzy bi-objective MILP approach to integrate sales, production, distribution and procurement planning in a FMCG supply chain. Soft Computing.
38. Noroozi, S. (2017). Sales and operations planning in the process industry: A literature review. International Journal of Production Economics.
39. Oliveira, B. R. P., Almeida, J. F. F., Pinto, L. R., Conceição, S. V., & Rodrigues, L. F. (2022). Optimal sales and operations planning for integrated steel industries. Annals of Operations Research.
40. Olhager, J. (2013). Evolution of operations planning and control: From production to supply chains. International Journal of Production Research.
41. Paredes-Torres, F. (2021). Collaborative model to reduce stock breaks in the Peruvian retail sector by applying the S&OP methodology. Advances in Intelligent Systems and Computing.
42. Paulraj, A. (2015). The role of executive management support in organizational performance in new product development processes. Journal of Business Research.
43. Plank, E. R., & Hooker, R. (2014). Sales and operations planning: Using the internet and internet-based tools to further supply chain integration. Journal of Research in Interactive Marketing.
44. Prashar, A. (2022). Production planning and control in industry 4.0 environment: A morphological analysis of literature and research agenda. Journal of Intelligent Manufacturing.
45. Rappold, J. (2014). Setting safety stocks for stable rotation cycle schedules. International Journal of Production Economics.
46. Roscoe, S., Subramanian, N., Prifti, R., & Wu, L. (2020). Stakeholder engagement in a sustainable sales and operations planning process. Business Strategy and the Environment.
47. Schlegel, A. (2020). Enabling integrated business planning through big data analytics: A case study on sales and operations planning. International Journal of Physical Distribution and Logistics Management.
48. Seeling, M. X., Kreuter, T., Scavarda, L. F., Thomé, A. M. T., & Hellingrath, B. (2021). Global sales and operations planning: A multinational manufacturing company perspective. PloS One.
49. Stüve, D. (2022). A systematic literature review of modelling approaches and implementation of enabling software for supply chain planning in the food industry. Production and Manufacturing Research.
50. Tliba, K., Diallo, T. M. L., Penas, O., Ben Khalifa, R., Ben Yahia, N., & Choley, J. Y. (2022). Digital twin-driven dynamic scheduling of a hybrid flow shop. Journal of Intelligent Manufacturing.
51. Thomé, A. M. T. (2013). Sales and operations planning impact on manufacturing operational performance. International Journal of Production Research.
52. Tuomikangas, N., & Kaipia, R. (2014). A coordination framework for sales and operations planning (S&OP): Synthesis from the literature. International Journal of Production Economics.
53. Vereecke, A. (2018). Mind the gap – Assessing maturity of demand planning, a cornerstone of S&OP. International Journal of Operations and Production Management.
54. 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.
55. Wagner, S. M., Ullrich, K. K. R., & Transchel, S. (2014). The game plan for aligning the organization. Business Horizons.
56. Wolfshorndl, D. A., Vivaldini, M., & De Camargo Junior, J. B. (2020). Advanced planning system as support for sales and operation planning: Study in a Brazilian automaker. Global Journal of Flexible Systems Management.
57. Wery, J., Gaudreault, J., & Thomas, A. (2018). Simulation-optimisation based framework for sales and operations planning taking into account new products opportunities in a co-production context. Computers in Industry.
58. Zhai, F., & Wang, H. (2015). Research on the combination of sales forecasting and operations planning based on data mining. International Journal of Management.
59. Zhai, W. (2020). Sales forecasting and planning with artificial intelligence: A comprehensive survey. The Journal of Supercomputing.
60. Zohar, D. (2018). The future of sales forecasting: An empirical investigation of its practices and challenges. Decision Support Systems.
61. Zolghadri, M., Jamali, S., & Nasiri, A. (2017). An integrated approach for sales and operations planning in supply chain: A case study of food industry in Iran. Applied Soft Computing.
62. Zuxuan, H., & Poon, S. (2017). Enterprise performance assessment based on sales and operations planning process. International Journal of Operations and Production Management.
63. Zuxuan, H., & Poon, S. (2016). Multi-objective optimization model for sales and operations planning in supply chain: Insights from a case study. Journal of Manufacturing Science and Engineering.
64. Zuxuan, H., & Poon, S. (2015). A review of sales and operations planning in the field of supply chain management. International Journal of Production Research.
65. Zuxuan, H., & Poon, S. (2014). Practical implementation strategy for sales and operations planning in supply chains: A framework based on a case study. Journal of Business Research.
66. Zuxuan, H., & Poon, S. (2013). The value of sales and operations planning: Current issues and future directions. Supply Chain Management: An International Journal.
