Freezing the master production schedule under single resource constraint and demand uncertainty

Xie, Jinxing; Zhao, Xiande; Lee, T.S

doi:10.1016/s0925-5273(02)00262-1

Cited by 70 publications

(43 citation statements)

References 29 publications

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“…One of the proposed approaches to solve this problem is to freeze certain periods of the MPS. Also, Xie et al (2003) investigate the performance of MPS freezing parameters in multi-item single-level systems with a single resource constraint under demand uncertainty. …”

Section: Materials Requirement Planningmentioning

confidence: 99%

Models for production planning under uncertainty: A review

Mula

García-Sabater

et al. 2006

International Journal of Production Economics

522

252

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The consideration of uncertainty in manufacturing systems supposes a great advance. Models for production planning which do not recognize the uncertainty can be expected to generate inferior planning decisions as compared to models that explicitly account for the uncertainty. This paper reviews some of the existing literature of production planning under uncertainty. The research objective is to provide the reader with a starting point about uncertainty modelling in production planning problems aimed at production management researchers. The literature review that we compiled consists of 87 citations from 1983 to 2004. A classification scheme for models for production planning under uncertainty is defined. r

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Section: Materials Requirement Planningmentioning

confidence: 99%

Models for production planning under uncertainty: A review

Mula

García-Sabater

et al. 2006

International Journal of Production Economics

522

252

View full text Add to dashboard Cite

show abstract

“…Zhao and Lee developed the research by Sridharan from single-level systems to multi-level planning systems (Zhao & Lee, 1993;Zhao, Goodale, & Lee, 1995). They also investigated the impact of parameters for freezing the MPS on total cost, schedule instability and service level of multi-item single-level systems with a single level resource constraint under deterministic demand (Zhao, Xie, & Jiang, 2001) and stochastic demand (Xie, Zhao, & Lee, 2003).…”

Section: Related Research and Motivationmentioning

confidence: 99%

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

Kabak

Örnek

2009

Computers & Industrial Engineering

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“…The results show a strong dependency between MPS instability and lot-sizing rules as well as frozen interval selection. Some works make a similar study for different lot-sizing problems, see Xie et al (2003Xie et al ( , 2004.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of Less Master Production Schedule Nervousness Model

Herrera¹,

Thomas²

2009

IFAC Proceedings Volumes

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In production decision making systems, Master Production Schedule (MPS) states the requirements for individual end items by date and quantity. The solution sensitivity to demand forecast changes, unforeseen supplier and production problem occurrences, is known as nervousness. This feature cause undesirable effects at tactical and operational levels. Some of these effects are production and inventory cost increases and, also, negative impacts on overall and labor productivity. To tackle this problem, we proposed a Mixed Integer Programming (MIP) model where nervousness reduction is carry out finding minimal suboptimal solutions. We perform a simulation under rolling planning horizon environment considering stochastic demand. Results of simulation show that, at each time demand changes take place the model can adjust the solution to achieve less nervousness without a significative change in cost performance.

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Freezing the master production schedule under single resource constraint and demand uncertainty

Cited by 70 publications

References 29 publications

Models for production planning under uncertainty: A review

Models for production planning under uncertainty: A review

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

Simulation of Less Master Production Schedule Nervousness Model

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