Master production scheduling policy and rolling schedules in a two-stage make-to-order supply chain

Sahin, Funda; Robinson, Edmund; Gao, Li‐Lian

doi:10.1016/j.ijpe.2008.05.019

Cited by 45 publications

(26 citation statements)

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“…Production planning decision-making involves a wide variety of research issues, including master production schedule (Venkataraman and Nathan 1994;Sahin et al 2008), material requirements planning (Le et al 2004;Dolgui and Prodhon 2007), manufacturing resource planning (MRP II) (Sawyer 1990;Wazed et al 2010;Drexl and Kimms 2013), enterprise resource planning (Ehie and Madsen 2005;Parush et al 2007), aggregate planning (Lee et al 1983;Jamalnia and Soukhakian 2009;Bushuev 2014), and so on. A great number of papers have been published in this area and some researchers provided comprehensive reviews (Dolgui andProdhon 2007, Wang et al 2009;Mula et al 2010;Wazed et al 2010).…”

Section: Production Planningmentioning

confidence: 99%

New Developments and Decision-makings in Production and Retailing

Guo¹

2016

Intelligent Decision-Making Models for Production and Retail Operations

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This chapter introduces firstly the new developments in production and retail operations. These developments bring new challenges to daily operations and decision-makings because some new decision-making problems and problem features emerge and have to be handled. This chapter then reviews previous studies on decision-making problems in production and retailing, including production planning, production scheduling, assembly line balancing, and sales forecasting. Finally, this chapter reviews commonly used techniques for typical decision-making problems, including production optimization and sales forecasting.

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Section: Production Planningmentioning

confidence: 99%

New Developments and Decision-makings in Production and Retailing

Guo¹

2016

Intelligent Decision-Making Models for Production and Retail Operations

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“…The MTO strategy is appropriate when the end item is highly customized, modular design is not possible, and the usage rate of common components is highly erratic due to varying usage rates among end items and end item demand is lumpy and highly unpredictable. Sahin and Robinson (2004) discuss in detail the MTO processes of an industrial equipment manufacturer.…”

Section: Introductionmentioning

confidence: 99%

“…Only Sahin et al (2004) examine MPS and AOC policy in a MTO supply chain environment. Most prior research also assumes a liquid strategy is used for the non-frozen interval.…”

Section: Introductionmentioning

confidence: 99%

Master production schedule time interval strategies in make-to-order supply chains¶

Robinson

Sahin

Gao

2008

International Journal of Production Research

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While the literature primarily addresses MPS design from the manufacturer's perspective, this research considers MPS policy design in a two-stage rolling schedule environment with a particular focus on the policy governing schedule flexibility in the non-frozen time interval (i.e. liquid versus slushy orders). Using computer simulation, we experimentally evaluate the impact of four MPS design factors (non-frozen interval policy, planning horizon length, frozen interval length and re-planning frequency) and four environmental factors (natural order cycle length, vendor flexibility, demand range and demand lumpiness) on MPS schedule cost and instability. The experimental design considers the oftenconflicting impact of MPS policy on the channel members by capturing performance metrics at the manufacturer, vendor and system level. The research findings indicate that moving from a liquid to a slushy non-interval strategy increases the manufacturer's costs, but may result in an even greater cost reduction for the vendor resulting in lower system costs. The economic benefit of the slushy strategy is directly tied to the vendor's relative flexibility in responding to the manufacturer's orders on a lot-for-lot basis. High vendor flexibility favours the liquid strategy, while low vendor flexibility favours the slushy strategy.

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“…While the influence of MPS on system performance is researched reasonably well (e.g. Tang and Grubbström (2002), Sahin et al (2008), Vargas and Metters (2011)) the impact of APP is fairly neglected. Moreover, some practitioners even doubt the relevance of APP in practical applications (cf.…”

mentioning

confidence: 99%

“…They further provide a model for estimating appropriate MPS parameters. Sahin et al (2008) study MPS policy and rolling schedules in a two-stage MTO supply chain. Vargas and Metters (2011) present an MPS procedure for stochastic demand and rolling planning horizons.…”

mentioning

confidence: 99%

Aggregate planning and forecasting in make-to-order production systems

Gansterer

2015

International Journal of Production Economics

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Master production scheduling policy and rolling schedules in a two-stage make-to-order supply chain

Cited by 45 publications

References 45 publications

New Developments and Decision-makings in Production and Retailing

New Developments and Decision-makings in Production and Retailing

Master production schedule time interval strategies in make-to-order supply chains¶

Aggregate planning and forecasting in make-to-order production systems

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