Capacitated planning and scheduling for combined make-to-order and make-to-stock production in the food industry: An illustrative case study

Soman, Chetan; Donk, van Dirk Pieter; Gaalman, Gerard

doi:10.1016/j.ijpe.2006.12.042

Cited by 71 publications

(46 citation statements)

References 9 publications

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“…These results, into a never ending cycle of inventory excesses or out of stocks when the demand exceeds the anticipated forecast (Bowersox, et al 2006). Soman et al (2007) observed that producing large quantity of products on pure produce-to-stock basis is not a viable strategy because demand is uncertainty and products have limited shelf lives.…”

Section: Production Planning and Schedulingmentioning

confidence: 99%

Supply Chain Management and Challenges Facing the Food Industry Sector in Tanzania

Ruteri¹

2009

IJBM

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The complexities of food supply chain impose enormous challenges to the processors. As compared to multinational food companies operating in Tanzania, local firms have been performing inefficiently or going out of the business because they could hardly withstand the competition. SCM in the food industry sector was studied in a qualitative survey covered 23 food processing firms in Tanzania, with the purposes of identifying the existing supply chain operation, knowledge of SCM concept and challenges facing the sector. The findings of this study suggest that a lot of efforts need to be addressed to ensure that food processors benefit from SCM concept. The understanding of SCM concept among the processors seems to be low, thus, hindering them from taping up the advantages that SCM concept offer. The sector still faces a number of factors which impede the firms to grow fast and compete in the global market. Such factors include technical know-how, research and development, capital, managerial and physical infrastructures.

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Section: Production Planning and Schedulingmentioning

confidence: 99%

Supply Chain Management and Challenges Facing the Food Industry Sector in Tanzania

Ruteri¹

2009

IJBM

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“…week or day. The production orders are sequenced and scheduled on machines and other resources within the planning period, determining the set of production orders to be accomplished in the bottleneck, sequence of production orders, and production orders' run length and starting times (Soman et al, 2007). Developing daily/weekly plans and schedules for production volumes, as well as sequencing orders on the shop floor, is not a substantially challenging task in a stable MTS environment.…”

Section: Operational Level Issuesmentioning

confidence: 99%

Tactical and Operational Issues in a Hybrid MTO-MTS Production Environment: The Case of Food Production

Romsdal

Arica

Strandhagen

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. Hybrid production environments that combine MTO and MTS strategies have emerged to enable production systems to better respond to changes in consumer and market demand. This paper discusses some of the tactical and operational production planning and control (PPC) issues involved in such hybrid production environments, using the food industry as an illustrative case. The discussion identifies MRP combined with WLC as a promising approach for incorporating MTO items into an MRP planning environment on the tactical and operational levels. Additional techniques are required to incorporate uncertainty and provide flexibility in this particular context and these should be further investigated taking different food supply chain characteristics into consideration.

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“…In addition to that, despite considering product families allocation and lot sizing issues, no setup continuity issues are included, specially in multistage systems. This is particularly important in industrial sectors with semicontinuous processes such as: -ceramic (Alemany et al, 2009(Alemany et al, , 2011 -food (Van Donk, 2001;Soman et al, 2004Soman et al, , 2007Romsdal et al, 2011;Kopanos et al, 2012aKopanos et al, , 2012b). …”

Section: Introductionmentioning

confidence: 99%

A Mathematical Programming Model for Tactical Planning with Set-up Continuity in a Two-stage Ceramic Firm

Perales

Alemany

2016

Int. J. Prod. Manag. Eng.

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It is known that capacity issues in tactical production plans in a hierarchical context are relevant since its inaccurate determination may lead to unrealistic or simply non-feasible plans at the operational level. Semi-continuous industrial processes, such as ceramic ones, often imply large setups and their consideration is crucial for accurate capacity estimation. However, in most of production planning models developed in a hierarchical context at this tactical (aggregated) level, setup changes are not explicitly considered. Their consideration includes not only decisions about lot sizing of production, but also allocation, known as Capacitated Lot Sizing and Loading Problem (CLSLP). However, CLSLP does not account for set-up continuity, specially important in contexts with lengthy and costly set-ups and where product families minimum run length are similar to planning periods. In this work, a mixed integer linear programming (MILP) model for a two stage ceramic firm which accounts for lot sizing and loading decisions including minimum lot-sizes and set-up continuity between two consecutive periods is proposed. Set-up continuity inclusion is modelled just considering which product families are produced at the beginning and at the end of each period of time, and not the complete sequence. The model is solved over a simplified twostage real-case within a Spanish ceramic firm. Obtained results confirm its validity.

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Capacitated planning and scheduling for combined make-to-order and make-to-stock production in the food industry: An illustrative case study

Cited by 71 publications

References 9 publications

Supply Chain Management and Challenges Facing the Food Industry Sector in Tanzania

Supply Chain Management and Challenges Facing the Food Industry Sector in Tanzania

Tactical and Operational Issues in a Hybrid MTO-MTS Production Environment: The Case of Food Production

A Mathematical Programming Model for Tactical Planning with Set-up Continuity in a Two-stage Ceramic Firm

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