An improved metric for measuring multi-item multi-level schedule instability under rolling schedules

Kabak, Kamil Erkan; Örnek, Mustafa Arslan

doi:10.1016/j.cie.2006.11.001

Cited by 14 publications

(13 citation statements)

References 36 publications

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“…Different measures can be used to evaluate the instability numerically (Sridharan, Berry, and Udayabhanu 1988;Kimms 1998;Pujawan 2004;Kabak and Ornek 2009). A rolling planning horizon n is often used with a specific periodicity t (cycles).…”

Section: Instability In Production Planningmentioning

confidence: 99%

A reactive decision-making approach to reduce instability in a master production schedule

Herrera

Belmokhtar-Berraf

Thomas

et al. 2015

International Journal of Production Research

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One of the primary factors that impact the master production scheduling performance is demand fluctuation, which leads to frequently updated decisions, thereby causing instability. Consequently, global cost deteriorates, and productivity decreases. A reactive approach based on parametric mixed-integer programming (MIP) is proposed that aims to provide a set of plans such that a compromise between production cost and production stability is ensured. Several stability measures and their corresponding MIP model are proposed. An experimental study is performed to highlight the effectiveness of the reactive approach with regard to the proposed performance measures. It is observed that an improvement in stability does not mean a significant increase in the total production cost. Furthermore, the procedure yields a set of plans that in practice would enable flexible management of production.

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Section: Instability In Production Planningmentioning

confidence: 99%

A reactive decision-making approach to reduce instability in a master production schedule

Herrera

Belmokhtar-Berraf

Thomas

et al. 2015

International Journal of Production Research

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“…The quality and reliability of internal operations in manufacturing companies affect the level of schedule nervousness they experience and thus the operation efficiency (Kabak & Ornek, 2009). A number of sub-factors are considered, namely, the reliability of the production system, component commonality, skills of the corresponding staff in managing planning and scheduling activities, the existence of an effective time-fencing system, and the flexibility of the scheduling system (Pujawan & Kingsman, 2000;Pujawan, 2004;Kadipasaoglu and Sridharan, 1995;Zhao & Lee, 1993;Zhao, Xie, & Jiang, 2001;Inman & Gonsalvez, 1997, Pfeiffer, Kadar, & Monostori, 2007Bayraktar, Koh, Gunnasekaran, Sari, & Tatoglu et al, 2008).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Relationships with supply chain partners affecting internal operation of high-tech manufacturers in Taiwan

Law

2009

The Journal of High Technology Management Research

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“…It was reflected in the change cost procedure by Carlson et al (1979). The methods to evaluate nervousness from Sridharan et al (1988), Kimms (1998), Pujawan (2004) and Kabak and Ornek (2009) also considered that there is either no consequences of distant change, an equal weight, or a proportional weight. These measures are only amenable to numerical analysis.…”

Section: Measuring Systems Nervousnessmentioning

confidence: 99%

Revisiting rescheduling: MRP nervousness and the bullwhip effect

Disney

2016

International Journal of Production Research

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We study the material requirement planning (MRP) system nervousness problem from a dynamic, stochastic and economic perspective in a two-echelon supply chain under first order auto-regressive demand. MRP nervousness is an effect where the future order forecasts, given to suppliers so that they may plan production and organize their affairs, exhibits extreme period-to-period variability. We develop a measure of nervousness that weights future forecast errors geometrically over time. Near-term forecast errors are weighted higher than distant forecast errors. Focusing on replenishment policies for high volume items, we investigate two methods of generating order call-offs and two methods of creating order forecasts. For order calloffs, we consider the traditional order-up-to (OUT) policy and the proportional OUT policy (POUT). For order forecasts, we study both minimum mean square error (MMSE) forecasts of the demand process and MMSE forecasts coupled with a procedure that accounts for the known future influence of the POUT policy. We show that when retailers use the POUT policy and account for its predictable future behavior, they can reduce the bullwhip effect, supply chain inventory costs and the manufacturer's MRP nervousness.

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An improved metric for measuring multi-item multi-level schedule instability under rolling schedules

Cited by 14 publications

References 36 publications

A reactive decision-making approach to reduce instability in a master production schedule

A reactive decision-making approach to reduce instability in a master production schedule

Relationships with supply chain partners affecting internal operation of high-tech manufacturers in Taiwan

Revisiting rescheduling: MRP nervousness and the bullwhip effect

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