A modularized framework for sales and operations planning with focus on process industries

References

• Abdulmalek, F. A., Rajgopal, J., & Needy, K. L. (2006). A classification scheme for the process industry to guide the implementation of lean. Engineering Management Journal, 18, 15–25.
   Google Scholar
• Affonso, R., Marcotte, F., & Grabot, B. (2008). Sales and operations planning: The supply chain pillar. Production Planning & Control: The Management of Operations, 19, 132–141.
   Web of Science ®Google Scholar
• Akkerman, R., Van Der Meer, D., & Van Donk, D. P. (2010). Make to stock and mix to order: Choosing intermediate products in the food-processing industry. International Journal of Production Research, 48, 3475–3492.10.1080/00207540902810569
   Web of Science ®Google Scholar
• Arnold, J. R. T., Chapman, S. N., & Clive, L. M. (1998). Introduction to materials management (7th ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Basu, R., & Wright, J. N. (2008). Total supply chain management (1st ed.). Oxford: Elsevier.10.1016/B978-0-7506-8426-2.50006-X
   Google Scholar
• Beamon, B. M. (1999). Measuring supply chain performance. International Journal of Operations & Production Management, 19, 275–292.
   Web of Science ®Google Scholar
• Blackstone, J. H., Jr. (2010). APICS dictionary (13th ed.). Chicago, IL: APICS.
   Google Scholar
• Burrows, R. P., III (2012). The market-driven supply chain: A revolutionary model for sales & operations planning in the new on-demand economy. New York, NY: AMACOM.
   Google Scholar
• Caux, C., David, F., & Pierreval, H. (2006). Implementation of delayed differentiation in batch process industries: A standardization problem. International Journal of Production Research, 44, 3243–3255.10.1080/00207540500521543
   Web of Science ®Google Scholar
• Cecere, L. (2005, May/June). Three principles for sound S&OP. Supply Chain Management Review, 15–16.
   Google Scholar
• Constable, C. J., & New, C. C. (1976). Operations management: A systems approach through text and cases. New York, NY: Wiley.
   Google Scholar
• Davis, T. S., & Novack, R. A. (2012). Why metrics matter. Supply Chain Management Review, 10–17.
   Google Scholar
• Dennis, D., & Meredith, J. (2000a). An empirical analysis of process industry transformation systems. Management Science, 46, 1085–1099.10.1287/mnsc.46.8.1085.12031
   Web of Science ®Google Scholar
• Dennis, D. R., & Meredith, J. R. (2000b). An analysis of process industry production and inventory management systems. Journal of Operations Management, 18, 683–699.10.1016/S0272-6963(00)00039-5
   Web of Science ®Google Scholar
• Feng, Y., D’Amours, S., & Beauregard, R. (2008). The value of sales and operations planning in oriented strand board industry with make-to-order manufacturing system: Cross functional integration under deterministic demand and spot market recourse. International Journal of Production Economics, 115, 189–209.10.1016/j.ijpe.2008.06.002
   Web of Science ®Google Scholar
• Finch, B. J., & Luebbe, R. L. (1995). Operations management: Competing in a changing environment. Orlando, FL: Harcourt Brace & Company.
   Google Scholar
• Fisher, M. L. (1997). What is the right supply chain for your product? Harvard Business Review, 75, 105–117.
   Web of Science ®Google Scholar
• Fransoo, J. C. (1993). Demand management and production control in process industries. International Journal of Operations & Production Management, 12, 187–196.
   Google Scholar
• Fransoo, J. C., & Rutten, W. G. M. M. (1994). A typology of production control situations in process industries. International Journal of Operations & Production Management, 14, 47–57.
   Web of Science ®Google Scholar
• Gianesi, I. G. N. (1998). Implementing manufacturing strategy through strategic production planning. International Journal of Operations & Production Management, 18, 286–299.
   Web of Science ®Google Scholar
• Giesberts, P. M. J., & Tang, L. V. D. (1992). Dynamics of the customer order decoupling point: Impact on information systems for production control. Production Planning & Control: The Management of Operations, 3, 300–313. 10.1080/09537289208919402
   Google Scholar
• Godsell, J., Diefenbach, T., Clemmow, C., Towill, D., & Christopher, M. (2011). Enabling supply chain segmentation through demand profiling. International Journal of Physical Distribution & Logistics Management, 41, 296–314.
   Web of Science ®Google Scholar
• Grimson, J. A., & Pyke, D. F. (2007). Sales and operations planning: An exploratory study and framework. The International Journal of Logistics Management, 18, 322–346.10.1108/09574090710835093
   Google Scholar
• Hahn, G. J., & Kuhn, H. (2012). Simultaneous investment, operations, and financial planning in supply chains: A value-based optimization approach. International Journal of Production Economics, 140, 559–569.10.1016/j.ijpe.2012.02.018
   Web of Science ®Google Scholar
• Heikkilä, J. (2002). From supply to demand chain management: Efficiency and customer satisfaction. Journal of Operations Management, 20, 747–767.10.1016/S0272-6963(02)00038-4
   Web of Science ®Google Scholar
• Hoekstra, S., & Romme, J. (1992). Integral logistic structures: Developing customer-oriented goods flow. London: McGraw-Hill.
   Google Scholar
• Hofmann, E., & Knébel, S. (2013). Alignment of manufacturing strategies to customer requirements using analytical hierarchy process. Production & Manufacturing Research, 1, 19–43.
   Google Scholar
• Ivert, L. K., Dukovska-Popovska, I., Kaipia, R., Fredriksson, A., Dreyer, H. C., Johansson, M. I., … Tuomikangas, N. (2015). Sales and operations planning: Responding to the needs of industrial food producers. Production Planning & Control: The Management of Operations, 26, 280–295.
   Google Scholar
• Jacobs, F. R., Berry, W. L., Whybark, D. C., & Vollmann, T. E. (2011). Manufacturing planning and control for supply chain management (APICS/CPIM certification ed.). New York, NY: McGraw-Hill.
   Google Scholar
• Jonsson, P., & Mattsson, S.-A. (2009). Manufacturing, planning and control for supply chain management. Glasgow: McGraw-Hill.
   Google Scholar
• Kilic, O. A., Akkerman, R., Van Donk, D. P., & Grunow, M. (2013). Intermediate product selection and blending in the food processing industry. International Journal of Production Research, 51, 26–42.10.1080/00207543.2011.640955
   Web of Science ®Google Scholar
• Kopanos, G. M., Puigjaner, L., & Georgiadis, M. C. (2012). Simultaneous production and logistics operations planning in semicontinuous food industries. Omega, 40, 634–650.10.1016/j.omega.2011.12.002
   Web of Science ®Google Scholar
• Latamore, G. B. (2001, January). The burden of choice: Mass customization drives market differentiation. APICS Magazine, pp. 40–43.
   Google Scholar
• Ling, R. C., & Goddard, W. E. (1988). Orchestrating success: Improve control of the business with sales & operations planning. New York, NY: Oliver Wight.
   Google Scholar
• MacCarthy, B. L., & Fernandes, F. C. F. (2000). A multi-dimensional classification of production systems for the design and selection of production planning and control systems. Production Planning & Control: The Management of Operations, 11, 481–496. 10.1080/09537280050051988
   Web of Science ®Google Scholar
• Maskell, B. H., & Baggaley, B. (2004). Practical lean accounting: A proven system for measuring and managing the lean enterprise. New York, NY: Productivity Press.
   Google Scholar
• Mason-Jones, R., Naylor, B., & Towill, D. R. (2000). Engineering the leagile supply chain. International Journal of Agile Management Systems, 2, 54–61.10.1108/14654650010312606
   Google Scholar
• McIntosh, R., Matthews, J., Mullineux, G., & Medland, A. (2010). Late customisation: Issues of mass customisation in the food industry. International Journal of Production Research, 48, 1557–1574.10.1080/00207540802577938
   Web of Science ®Google Scholar
• Meredith, J. (1993). Theory building through conceptual methods. International Journal of Operations & Production Management, 13, 3–11.
   Google Scholar
• Muzumdar, M., & Fontanella, J. (2006, April). The secrets to S&OP success. Supply Chain Management Review, 34–41.
   Google Scholar
• Naylor, J. B., Naim, M. M., & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62, 107–118.10.1016/S0925-5273(98)00223-0
   Web of Science ®Google Scholar
• Neureuther, B. D., Polak, G. G., & Sanders, N. R. (2004). A hierarchical production plan for a make-to-order steel fabrication plant. Production Planning & Control: The Management of Operations, 15, 324–335.
   Web of Science ®Google Scholar
• Noroozi, S. & Wikner, J. (2013). Sales and operations planning in the process industry. Paper presented at the 20th International Annual EurOMA Conference, Dublin.
   Google Scholar
• O’Reilly, S., Kumar, A., & Adam, F. (2015). The role of hierarchical production planning in food manufacturing SMEs. International Journal of Operations & Production Management, 35, 1362–1385.
   Web of Science ®Google Scholar
• Olhager, J. (2003). Strategic positioning of the order penetration point. International Journal of Production Economics, 85, 319–329.10.1016/S0925-5273(03)00119-1
   Web of Science ®Google Scholar
• Olhager, J., & Rudberg, M. (2002). Linking manufacturing strategy decisions on process choice with manufacturing planning and control systems. International Journal of Production Research, 40, 2335–2351. 10.1080/00207540210131842
   Web of Science ®Google Scholar
• 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, 215–225.10.1016/S0925-5273(99)00098-5
   Web of Science ®Google Scholar
• Olhager, J., Selldin, E., & Wikner, J. (2006). Decoupling the value chain. International Journal of Value Chain Management, 1, 19–32.10.1504/IJVCM.2006.009021
   Google Scholar
• Oliva, R., & Watson, N. (2011). Cross-functional alignment in supply chain planning: A case study of sales and operations planning. Journal of Operations Management, 29, 434–448.10.1016/j.jom.2010.11.012
   Web of Science ®Google Scholar
• Omar, M. K., & Teo, S. C. (2007). Hierarchical production planning and scheduling in a multi-product, batch process environment. International Journal of Production Research, 45, 1029–1047.10.1080/00207540600724989
   Web of Science ®Google Scholar
• Pagh, J. D., & Cooper, M. C. (1998). Supply chain postponement and speculation strategies: How to choose the right strategy. Journal of Business Logistics, 19, 13–33.
   Google Scholar
• Pool, A., Wijngaard, J., & van der Zee, D.-J. (2011). Lean planning in the semi-process industry, a case study. International Journal of Production Economics, 131, 194–203. 10.1016/j.ijpe.2010.04.040
   Web of Science ®Google Scholar
• Proud, J. F. (1999). Master scheduling: A practical guide to competitive manufacturing. New York, NY: Wiley.
   Google Scholar
• Rafiei, H., & Rabbani, M. (2012). Capacity coordination in hybrid make-to-stock/make-to-order production environments. International Journal of Production Research, 50, 773–789.10.1080/00207543.2010.543174
   Web of Science ®Google Scholar
• Rudberg, M., & Cederborg, O. (2011). APS for tactical planning in a steel processing company. Industrial Management & Data Systems, 111, 608–628. 10.1108/02635571111133579
   Web of Science ®Google Scholar
• Sabri, E., & Shaikh, S. (2013, September/October). Lean and agile: Achieving peak levels of sales and operations planning. APICS Magazine, pp. 43–45.
   Google Scholar
• Sharda, B., & Akiya, N. (2012). Selecting make-to-stock and postponement policies for different products in a chemical plant: A case study using discrete event simulation. International Journal of Production Economics, 136, 161–171.10.1016/j.ijpe.2011.10.001
   Web of Science ®Google Scholar
• Soman, C. A., Van Donk, D. P., & Gaalman, G. (2004). Combined make-to-order and make-to-stock in a food production system. International Journal of Production Economics, 90, 223–235.10.1016/S0925-5273(02)00376-6
   Web of Science ®Google Scholar
• The Steel Book. (2009). Retrieved from http://www.jernkontoret.se/ladda_hem_och_bestall/publikationer/andras_publikationer/the_steel_book_ssab2009.pdf
   Google Scholar
• The Steel Book. (2012). Retrieved from http://www.ssab.com/Global/SSAB/Brochures/en/001_The%20Steel%20Book.pdf
   Google Scholar
• Taylor, S. G., & Bolander, S. F. (1994). Process flow scheduling: A scheduling systems framework for flow manufacturing. Falls Church, VA: American Production and Inventory Control Society (APICS).
   Google Scholar
• Thome, A. M. T., Scavarda, L. F., Fernandez, N. S., & Scavarda, A. J. (2012). Sales and operations planning: A research synthesis. International Journal of Production Economics, 138(1), 1–13. 10.1016/j.ijpe.2011.11.027
   Web of Science ®Google Scholar
• Van Donk, D. P. (2001). Make to stock or make to order: The decoupling point in the food processing industries. International Journal of Production Economics, 69, 297–306.10.1016/S0925-5273(00)00035-9
   Web of Science ®Google Scholar
• Van Donk, D. P., & Fransoo, J. C. (2006). Operations management research in process industries. Journal of Operations Management, 24, 211–214.10.1016/j.jom.2005.01.001
   Web of Science ®Google Scholar
• Van Hoek, R. I. (1999). Postponement and the reconfiguration challenge for food supply chains. Supply Chain Management: An International Journal, 4, 18–34.10.1108/13598549910255068
   Google Scholar
• Viswanathan, N. (2011). Sales and operations planning: Key enabler for the chief supply chain officers. Boston, MA: Aberdeen Group.
   Google Scholar
• Wacker, J. G. (1998). A definition of theory: Research guidelines for different theory-building research methods in operations management. Journal of Operations Management, 16, 361–385.10.1016/S0272-6963(98)00019-9
   Google Scholar
• Wallace, T. F., & Stahl, R. A. (2008). Sales and operation planning: The how-to handbook (3rd ed.). USA: T. F. Wallace and Company.
   Google Scholar
• Wight, O. W. (1984). MRP II: Unlocking America’s productivity potential. New York, NY: Oliver Wight.
   Google Scholar
• Wikner, J. (2014). On decoupling points and decoupling zones. Production & Manufacturing Research, 2, 167–215. 10.1080/21693277.2014.898219
   Google Scholar
• Wikner, J., & Noroozi, S. (2014). Typology for planning and control – Combining object type, mode type, and driver type. Cardiff: Future Technology Press.
   Google Scholar
• Wikner, J., & Rudberg, M. (2005). Introducing a customer order decoupling zone in logistics decision-making. International Journal of Logistics Research and Applications, 8, 211–224. 10.1080/13675560500282595
   Google Scholar
• Willems, S. (2013, March/April). Inventory optimization: Evolving from fad to necessity. Supply Chain Management Review, 10–17.
   Google Scholar
• Woodward, J. (1965). Industrial organization: Theory and practice. London: Oxford University Press.
   Google Scholar