Planning and Scheduling in Supply Chains: An Overview of Issues in Practice

Kreipl, Stephan; Pinedo, Michael

doi:10.1111/j.1937-5956.2004.tb00146.x

Cited by 172 publications

(92 citation statements)

References 20 publications

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“…As such, the ARP module not only provides a tool for analysis, but also a lever for operational improvement. Although planning and scheduling models are frequently treated independently (Kreipl and Pinedo, 2004), we consider them linked with each other in line with the hierarchical production planning (HPP) philosophy (Hax and Meal, 1975). As a result, the decisions made at the higher planning levels impose constraints for the shorter planning levels.…”

Section: Decision-support Benefits Of Arpmentioning

confidence: 99%

Advanced resource planning as a decision support module for ERP

Nieuwenhuyse

Boeck

Lambrecht

et al. 2011

Computers in Industry

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In this paper, we show that the planning and decision-support capabilities of the MPC (Manufacturing Planning and Control) system, which forms the core of any ERP (Enterprise Resource Planning) package, may be substantively enhanced by including a Decision Support Module (DSM) as an add-on at the midterm planning level. This DSM, called Advanced Resource Planning (ARP), serves as parameter setting process as well as tool for improving the structure of the ERP system itself. The ultimate goal of the DSM is to yield realistic information both for scheduling, sales and marketing, strategic and operational decision making and suppliers and customers.

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Section: Decision-support Benefits Of Arpmentioning

confidence: 99%

Advanced resource planning as a decision support module for ERP

Nieuwenhuyse

Boeck

Lambrecht

et al. 2011

Computers in Industry

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“…A third point, also related to the flexibility of the model regards the links between different areas of the organisation, a problem addressed by Kreipl and Pinedo (2004). The flexibility of the model allows it to incorporate -myriad complexities notwithstandingthe many variables that influence decision-making vis-à-vis production sequencing.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Fuzzy logic in production sequencing: the case of a cosmetics manufacturer in Brazil

Filho

Corrêa

2016

IJBISE

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This study aims to develop a way to improve the production sequencing practice of a case company that manufactures cosmetics located in Brazil. Production sequencing is an activity that is part of production planning and control. Our goal is to provide ways to reduce sales loss due to product stock-outs through new practices found in the literature. Simultaneously, we aimed at increasing the number of different items without sales loss thereby helping the achievement of sales goals while improving the meeting of overall demand for products. The approach proposed here includes the development of a decision support tool based on fuzzy logic. Such approach proved to be a good alternative to overcome some of the problems encountered in the case company production sequencing activity. Furthermore, the developed decision support system enabled the organisation decision-making to be more agile and dynamic. Additionally, by facilitating the incorporation of environmental complexity, our proposed solution helped harmonise decision-making across different areas of the company.

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“…When it comes to adopt the plans and execution phases, they hardly provide any guidelines or mechanisms [19]. For instance, Ivert [20] reports the negative consequences of APSs used to handle disturbances on the lower shop floor level as extracting information from these kinds of systems is too complicated.…”

Section: Information and Communication Technologymentioning

confidence: 99%

Handling Unexpected Events in Production Activity Control Systems

Arica¹,

Strandhagen²,

Hvolby³

2013

IFIP Advances in Information and Communication Technology

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Abstract. This paper highlights the important factors that influence the effectiveness of the event handling process in production control activity (PAC). Five key factors have been identified by the literature study. Production schedule generation and execution strategy under uncertainty, information and communication technology usage, coordination and feedback, human factor and interaction, and the performance measurement approach are the identified factors to be taken into account. Industrial interviews with three case companies, that are participating to the research program called The Norwegian Manufacturing Future (SFI NORMAN), have been carried out in order to gain practical insights as well as support and revise the findings by relevant empirical data.

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Planning and Scheduling in Supply Chains: An Overview of Issues in Practice

Cited by 172 publications

References 20 publications

Advanced resource planning as a decision support module for ERP

Advanced resource planning as a decision support module for ERP

Fuzzy logic in production sequencing: the case of a cosmetics manufacturer in Brazil

Handling Unexpected Events in Production Activity Control Systems

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