Effective control policies for stochastic inventory systems with a minimum order quantity and linear costs

Zhou, Bin; Zhao, Yue; Katehakis, Michael N.

doi:10.1016/j.ijpe.2006.06.020

Cited by 47 publications

(41 citation statements)

References 7 publications

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“…Achanga et al (2006) found that the success of lean implementation depends on four critical factors: (a) leadership and management; (b) finance; (c) skills and expertise; and (d) supportive organizational culture of the organization. Zhou et al (2007Zhou et al ( , 2009 discussed mathematical models in which order quantity requirement and free shipping are used either as constraint or incentive to achieve economies of scale in the manufacturing/purchasing process and provided heuristic approaches to minimize and reduce total purchasing costs. Wong et al (2009) developed a collective set of key areas or factors leveled to be critical for the implementation of lean.…”

Section: Literature Reviewmentioning

confidence: 99%

Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs)

2012

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Lean as a business strategy is used to improve quality and service, eliminate waste, reduce time and costs, and enhance overall organizational effectiveness. Heightening challenges in competition in recent years have prompted many small and medium-sized enterprises (SMEs) to adopt lean to enhance firms' competitiveness. This paper attempts to present an all-inclusive study and it examines various factors associated with the implementation of lean in SMEs in the U.S. The findings suggest that most of SMEs have a relatively accurate understanding of lean concept and philosophy. The primary reasons to implement lean are mainly internal, including reduce cost, improve profit margin, improve utilization of plant/facility, and maintain competitive position. A hierarchical cluster analysis was conducted to investigate lean status. It was discovered that both advanced adopters and beginners of lean are discovered. ANOVA test results show that there exist quite significant differences in terms of the degrees of lean implementation in SMEs. Varied lean tools and programs have been applied and they are positively related with firms' performance. Lastly, the paper provides evidences that major lean barriers are encountered by SMEs regarding management or people related factors as well as key knowledge and know-how.

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Section: Literature Reviewmentioning

confidence: 99%

Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs)

2012

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“…The most closely related papers to our work are Zhou et al (2007) and Kiesmuller et al (2011). Zhou et al (2007) propose a two-parameter heuristic policy for a stochastic inventory system with MOQ requirement and demonstrate that the performance of this policy is close to the optimal policy except for a few cases when the coefficient of the demand distribution is very small.…”

Section: Literature Reviewmentioning

confidence: 77%

“…Therefore, for inventory systems with both MOQ and batch ordering requirements, it is necessary to propose some effective heuristic policies, which is the major contribution of our work. Facing the MOQ requirement, many companies apply the (s,S) type policy to control inventories in practice (Zhou et al, 2007). Based on this, we first propose a two-parameter policy with a similar structure, i.e., the (s; t) policy, where s o t o s þ M and M represents the MOQ.…”

Section: Introductionmentioning

confidence: 99%

Effective inventory control policies with a minimum order quantity and batch ordering

Han

Liu

Chen

2015

International Journal of Production Economics

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“…The obtained critical levels through those polices has a critical impact on container terminals' performance indicators. Studies focusing on manufacturing companies' production capacity levels have also underlined the need for such strategies with different characteristics (Shi et al 2014;Zhou et al 2007Zhou et al , 2009. Figure 3 illustrates the overall system view of the mentioned polices where arrival rate for a class-k vessel is denoted by λ k and service rate at class-m berth is indicated by μ m .…”

Section: Fig 2 Peninsula Shaped Terminal Layoutmentioning

confidence: 99%

Priority control of berth allocation problem in container terminals

Ursavas

2015

Ann Oper Res

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This paper presents a decision support system for the core problem of berth allocation decision in a container terminal. The allocation of berths to the calling vessels is complex with the fact that different service level requirements are required for different vessels. Terminal managers demand for effective decision support systems that would aid them with the allocation problem considering service priorities. Consequently, this study provides a DSS, built by a dynamic discrete-event simulation model embedded with an optimization tool that determines the priority controls for the berth allocation to the calling vessels. To show the practical application of the DSS, a comprehensive case study from a Turkish container terminal considering the current state and future expansion plans that also provides an indication of the usability aspect of the program on other ports around the world has been conducted. Further experiments are conducted based on data from the Port of Rotterdam. The DSS presented in this study may help port authorities in determining more efficient allocation decisions within a container terminal.

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Effective control policies for stochastic inventory systems with a minimum order quantity and linear costs

Cited by 47 publications

References 7 publications

Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs)

Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs)

Effective inventory control policies with a minimum order quantity and batch ordering

Priority control of berth allocation problem in container terminals

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