Family based dispatching in manufacturing networks

Zee, Durk-Jouke van der; Gaalman, Gerard; Nomden, Gert

doi:10.1080/00207543.2010.537704

Cited by 6 publications

(5 citation statements)

References 29 publications

(26 reference statements)

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“…Size of gains are in line with those found for related research (Mahmoodi and Martin 1997;Nomden, Van der Zee, and Slomp 2008;van der Zee, Gaalman, and Nomden 2011), see Section 2. Obviously, benefits of heuristics' implementation have …”

Section: Analysis Of Simulation Resultssupporting

confidence: 75%

“…Nomden, Van der Zee, and Slomp (2008) show how shop performance may benefit significantly from the inclusion of forecast data on future arrivals in family priority setting. Finally, van der Zee, Gaalman, and Nomden (2011) show how shop-wide performance may benefit from including information on current workload for downstream machines in family-based dispatching.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Benefits of including forecasted or predicted future job arrivals in heuristic decision-making are considered by Kannan and Ghosh (1996), Mahmoodi and Martin (1997), Reddy and Narendran (2003) and Nomden, Van der Zee, and Slomp (2008). Furthermore, in a recent study van der Zee, Gaalman, and Nomden (2011) show how overall shop performance may benefit from considering work in process for downstream manufacturing stages in family based dispatching. Surprisingly, strategies for coordinating batching decisions with upstream stages receive no attention in literature.…”

Section: Introductionmentioning

confidence: 99%

“…Our work is motivated by a case study concerning a manufacturer of centrifugal pumps for the (petro) chemical industry, horticular market and shipbuilding industry (Bokhorst, Nomden, and Slomp 2008;Nomden 2011;van der Zee, Gaalman, and Nomden 2011). Its mechanical processing department produces parts (casings, impellers, shafts etc.)…”

Section: Introductionmentioning

confidence: 99%

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Coordinating batching decisions in manufacturing networks

Zee

2017

International Journal of Production Research

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Family-based dispatching heuristics aim for improving job flow times by reducing time spent on set-ups. They realise set-up efficiencies by batching similar types of jobs. By their intuitiveness and the simplicity of their decision logic, they may contribute to an easy to implement and viable strategy in many practical settings. Similar to common dispatching rules most existing family-based dispatching heuristics are myopic, i.e. their decision scope is restricted to a single manufacturing stage. Hence, they neglect opportunities for improving shop performance by coordinating batching decisions with other manufacturing stages. Case examples from industry underpin the need for exploring these opportunities. We do so by studying a simple two-stage flow shop, entailing a serial and a batch stage. To facilitate shop coordination we propose extensions to existing family-based dispatching heuristics. Extended heuristics seek to further increase set-up efficiencies by allowing for upstream job re-sequencing, and pro-active set-ups, i.e. set-ups that may be initiated prior to the arrival of a job. Outcomes of an extensive simulation study indicate significant performance gains for extended heuristics vs. existing heuristics. Performance gains are largest for moderate and high set-up to run-time ratios.

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Section: Analysis Of Simulation Resultssupporting

confidence: 75%

Section: Literature Reviewmentioning

confidence: 99%