Raw material variability in food manufacturing: a data-driven snack food industry case

References

• Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196(195), 1–20. https://doi.org/10.1016/j.ejor.2008.02.014
   Web of Science ®Google Scholar
• Ahumada, O., & Villalobos, J. R. (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 133(2), 677–687. https://doi.org/10.1016/j.ijpe.2011.05.015
   Web of Science ®Google Scholar
• Akkerman, R., Farahani, P., & Grunow, M. (2010). Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges. OR Spectrum, 32(4), 863–904. https://doi.org/10.1007/s00291-010-0223-2
   Web of Science ®Google Scholar
• Allen, S. J., & Schuster, E. W. (2004). Controlling the risk for an agricultural harvest. Manufacturing & Service Operations Management, 6(3), 225–236. https://doi.org/10.1287/msom.1040.0035
   Google Scholar
• Azoury, K. S., & Miyaoka, J. (2013). Managing production and distribution for supply chains in the processed food industry. Production and Operations Management, 22(5), 1250–1268. https://doi.org/10.1111/poms.12019
   Web of Science ®Google Scholar
• Bakker, M., Riezebos, J., & Teunter, R. H. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2), 275–284. https://doi.org/10.1016/j.ejor.2012.03.004
   Web of Science ®Google Scholar
• Baltas, G., Doyle, P., & Dyson, P. (1997). A model of consumer choice for national vs private label brands. Journal of the Operational Research Society, 48(10), 988–995. https://doi.org/10.1057/palgrave.jors.2600454
   Web of Science ®Google Scholar
• Bassok, Y., & Akella, R. (1991). Ordering and production decisions with supply quality and demand uncertainty. Management Science, 37(12), 1556–1574. https://doi.org/10.1287/mnsc.37.12.1556
   Web of Science ®Google Scholar
• Behzadi, G., Justin, O., Olsen, T. L., & Zhang, A. (2018). Agribusiness supply chain risk management: A review of quantitative decision models. Omega, 79(September), 21–42. https://doi.org/10.1016/j.omega.2017.07.005
   Web of Science ®Google Scholar
• Blackburn, J., & Scudder, G. (2009). Supply chain strategies for perishable products: The case of fresh produce. Production and Operations Management, 18(2), 129–137. https://doi.org/10.1111/j.1937-5956.2009.01016.x
   Web of Science ®Google Scholar
• Bohle, C., Maturana, S., & Vera, J. (2010). A robust optimization approach to wine grape harvesting scheduling. European Journal of Operational Research, 200(1), 245–252. https://doi.org/10.1016/j.ejor.2008.12.003
   Web of Science ®Google Scholar
• Boland, M., Foster, K. A., & Akridge, J. (1995). Packer sorting strategies for fresh pork. Agribusiness, 11(5), 423–430. https://doi.org/10.1002/1520-6297(199509/10)11:5<423::AID-AGR2720110505>3.0.CO;2-X
   Google Scholar
• Boland, M., & Marsh, T. L. (2006). Input quality in the sugar beet industry. Journal of Agricultural and Resource Economics, 31(1), 114–128. https://doi.org/10.22004/ag.econ.7316
   Web of Science ®Google Scholar
• Boyabatlı, O., Nguyen, J., & Wang, T. (2017). Capacity management in agricultural commodity processing and application in the palm industry. Manufacturing & Service Operations Management, 19(4), 551–567. https://doi.org/10.1287/msom.2017.0624
   Web of Science ®Google Scholar
• Bronson, K., & Knezevic, I. (2016). Big data in food and agriculture. Big Data & Society, 3(1), 1. https://doi.org/10.1177/2053951716648174
   Web of Science ®Google Scholar
• Burt, O. R. (1978). On the statistical estimation of isoquants and their role in livestock production decisions. American Journal of Agricultural Economics, 60(3), 518–523. https://doi.org/10.2307/1239949
   Web of Science ®Google Scholar
• Cai, X., Chen, J., Xiao, Y., & Xu, X. (2010). Optimization and coordination of fresh product supply chains with freshness-keeping effort. Production and Operations Management, 19(3), 261–278. https://doi.org/10.1111/j.1937-5956.2009.01096.x
   Web of Science ®Google Scholar
• Census Bureau. (2017). Quarterly financial report: U.s. manufacturing, mining, wholesale trade, and selected service industries, third quarter 2017.
   Google Scholar
• Chen, X., Kouvelis, P., & Biazaran, M. (2018). Value of operational flexibility in co-production systems with yield and demand uncertainty. International Journal of Production Research, 56(1–2), 491–507. https://doi.org/10.1080/00207543.2017.1402138
   Web of Science ®Google Scholar
• Devalkar, S. K., Anupindi, R., & Sinha, A. (2011). Integrated optimization of procurement, processing, and trade of commodities. Operations Research, 59(6), 1369–1381. https://doi.org/10.1287/opre.1110.0959
   Web of Science ®Google Scholar
• Donk, D. P. V., & Fransoo, J. C. (2006). Operations management research in process industries. Journal of Operations Management, 24(3), 211–214. https://doi.org/10.1016/j.jom.2005.01.001
   Web of Science ®Google Scholar
• Funes, E., Allouche, Y., Beltrán, G., Jiménez, A. . (2015). A review: Artificial neural networks as tool for control food industry process. Journal of Sensor Technology, 5(1), 28. https://doi.org/10.4236/jst.2015.51004
   Google Scholar
• Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. C. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega, 66(January), 344–357. https://doi.org/10.1016/j.omega.2015.05.015
   Web of Science ®Google Scholar
• Glen, J. J. (1987). Feature article: Mathematical models in farm planning: A survey. Operations Research, 35(5), 641–666. https://doi.org/10.1287/opre.35.5.641
   Web of Science ®Google Scholar
• Goesaert, H., Brijs, K., Veraverbeke, W. S., Courtin, C. M., Gebruers, K., & Delcour, J. A. (2005). Wheat flour constituents: How they impact bread quality, and how to impact their functionality. Trends in Food Science and Technology, 16(16), 12–30. https://doi.org/10.1016/j.tifs.2004.02.011
   Web of Science ®Google Scholar
• Goyal, S., & Giri, B. (2001). Recent trends in modeling of deteriorating inventory. European Journal of Operational Research, 134(1), 1–16. https://doi.org/10.1016/S0377-2217(00)00248-4
   Web of Science ®Google Scholar
• Greene, W. H. (2003). Econometric analysis. Pearson Education India.
   Google Scholar
• Haley, T. A., & Mulvaney, S. J. (1995). Advanced process control techniques for the food industry. Trends in Food Science & Technology, 6(6), 103–110. https://doi.org/10.1016/S0924-2244(00)88992-X
   Web of Science ®Google Scholar
• Hernandez, J. E., Mortimer, M., & Panetto, H. (2020). Operations management and collaboration in agri-food supply chains. Production Planning & Control, 32(14), 1163–1164. https://doi.org/10.1080/09537287.2020.1796141
   Google Scholar
• IBISWorld. (2022). https://www.ibisworld.com/industry-statistics/market-size/snack-food-production-united-states. ( Retrieved: 2022-May-08)
   Google Scholar
• Kopanos, G. M., Puigjaner, L., & Georgiadis, M. C. (2012). Simultaneous production and logistics operations planning in semicontinuous food industries. Omega, 40(5), 634–650. https://doi.org/10.1016/j.omega.2011.12.002
   Web of Science ®Google Scholar
• Lowe, T. J., & Preckel, P. V. (2004). Decision technologies for agribusiness problems: A brief review of selected literature and a call for research. Manufacturing & Service Operations Management, 6(3), 201–208. https://doi.org/10.1287/msom.1040.0051
   Google Scholar
• Lucas, M. T., & Chhajed, D. (2004). Applications of location analysis in agriculture: A survey. Journal of the Operational Research Society, 55(6), 561–578. https://doi.org/10.1057/palgrave.jors.2601731
   Web of Science ®Google Scholar
• Mullainathan, S., & Spiess, J. (2017). Machine learning: An applied econometric approach. Journal of Economic Perspectives, 31(2), 87–106. https://doi.org/10.1257/jep.31.2.87
   Web of Science ®Google Scholar
• Mundi, I., Alemany, M., Poler, R., & Fuertes-Miquel, V. S. (2019). Review of mathematical models for production planning under uncertainty due to lack of homogeneity: Proposal of a conceptual model. International Journal of Production Research, 57(15–16), 5239–5283. https://doi.org/10.1080/00207543.2019.1566665
   Web of Science ®Google Scholar
• Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response surface methodology: Process and product optimization using designed experiments. John Wiley & Sons.
   Google Scholar
• Plante, R., Moskowitz, H., Tang, J., & Duffy, J. (1999). Improving quality via matching: A case study integrating supplier and manufacturer quality performance. Manufacturing & Service Operations Management, 1(1), 36–49. https://doi.org/10.1287/msom.1.1.36
   Google Scholar
• Roesler, N. (2020, May). The snack trends predicted to persist post-pandemic. Food Business News. https://www.foodbusinessnews.net/articles/16078-the-snack-trends-predicted-to-persist-post-pandemic
   Google Scholar
• Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics, 131(1), 421–429. https://doi.org/10.1016/j.ijpe.2009.11.026
   Web of Science ®Google Scholar
• Schuster, E. W., & Allen, S. J. (1998). Raw material management at welch’s, inc. Interfaces, 28(5), 13–24. https://doi.org/10.1287/inte.28.5.13
   Web of Science ®Google Scholar
• Shashi, C., R, Singh, R., Centobelli, P., Shabani, A., & Cerchione, R. (2018). Food cold chain management: From a structured literature review to a conceptual framework and research agenda. The International Journal of Logistics Management, 29(3), 792–821. https://doi.org/10.1108/IJLM-01–2017-0007
   Web of Science ®Google Scholar
• Tew, J. D., & Wilson, J. R. (1994). Estimating simulation metamodels using combined correlation-based variance reduction techniques. IIE Transactions, 26(3), 2–16. https://doi.org/10.1080/07408179408966603
   Web of Science ®Google Scholar
• Varzakas, T., & Tzia, C. (2015). Handbook of food processing: Food safety, quality, and manufacturing processes (Vol. 35). CRC Press.
   Google Scholar
• Wang, X., Li, D., & Shi, X. (2012). A fuzzy model for aggregative food safety risk assessment in food supply chains. Production Planning & Control, 23(5), 377–395. https://doi.org/10.1080/09537287.2011.561812
   Web of Science ®Google Scholar
• Yano, C. A., & Lee, H. L. (1995). Lot sizing with random yields: A review. Operations Research, 43(2), 311–334. https://doi.org/10.1287/opre.43.2.311
   Web of Science ®Google Scholar
• Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., & Piramuthu, S. (2018). Recent advances and opportunities in sustainable food supply chain: A model-oriented review. International Journal of Production Research, 56(17), 5700–5722. https://doi.org/10.1080/00207543.2018.1425014
   Web of Science ®Google Scholar