Simulation of ordering rules for single level material requirements planning with a rolling horizon and no forecast error

Ristroph, John H.

doi:10.1016/0360-8352(90)90096-5

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Blackburn and Millen (1980), Chand (1982), Bookbinder and H'ng (1986a), Ristroph (1990), Sridharan and Berry (1990b), Stadtler (2000) and Simpson (2001) evaluate different lot-sizing rules in uncapacitated, single-level MRP systems with deterministic demand, whereas DeBodt and Wassenhove (1983), Wemmerlov and Whybark (1984), Bookbinder and H'ng (1986b) examine a single-level stochastic demand environment. Millen (1982a, 1982b), Zhao et al (1995), Zhao and Lee (1996), Zhao and Lam (1997) and Simpson (1999) study lot-sizing in deterministic demand multi-level MRP systems, while Zhao et al (1995) consider stochastic demand.…”

Section: Literature Reviewmentioning

confidence: 98%

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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Section: Literature Reviewmentioning

confidence: 98%

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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“…The impact of the choice of T on the Performance of methods for the Wagner-Whitin problem in a rolling horizon Implementation is studied in [2,10,13,15,60,63]. Surprisingly, choosing large values for T is not the best choice as one could have expected.…”

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confidence: 99%

Stability measures for rolling schedules with applications to capacity expansion planning, master production scheduling, and lot sizing

Kimms

1998

Omega

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

Sahin

Robinson

Gao

2008

International Journal of Production Economics

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Simulation of ordering rules for single level material requirements planning with a rolling horizon and no forecast error

Cited by 6 publications

References 7 publications

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

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

Stability measures for rolling schedules with applications to capacity expansion planning, master production scheduling, and lot sizing

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

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