Integrated optimization of multiple warehouse replenishment for semiconductor manufacturing

Ni, Yanting; Cheng, Yue; Xiong, Fei

doi:10.1007/s40430-017-0756-2

Cited by 2 publications

(2 citation statements)

References 23 publications

(31 reference statements)

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“…Another characteristic of semiconductor industry is the just-in-time (JIT) approach, which has been applied in either warehouse replenishment [11] or production process. The original JIT concept concerns eliminating excess inventory that makes problems immediately evident.…”

Section: A Characteristics Of the Semiconductor Industrymentioning

confidence: 99%

“…Of high technology industries, semiconductor industry is unique with characteristics of capital intensiveness, tremendous volume of facilities, complex supply chain networks, fast-changing technologies, commitment to capacity, and just-in-time (JIT) delivery [11][12][13]. All activities of a supply chain in semiconductor with these special characteristics have an inherent risk.…”

Section: Introductionmentioning

confidence: 99%

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Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

et al. 2022

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Resilience emphasizes the recovery capability of a firm after an event of disruption. This paper proposes a framework in constructing a knowledge warehouse (KW) to increase a semiconductor assembly and testing firm's resilience by using a backcasting approach, which consists of four steps to form the development cycles. In each cycle, the goal for moving towards resilience is set up. The second step is to identify the baseline problems. Several potential paths to reach the goal from the baseline are then analyzed. Finally, a proper path supporting the performance of specific activities (plan) is selected and further added to the KW. Therefore, any possible conflict caused from bringing in new knowledge to the existing KW should be examined and resolved. The KW is augmented through cycles. Two case studies (Earthquake and typhoon disruptions) are used to demonstrate the applicability of the proposed framework. Furthermore, discussions also refer to how Nissan and Renesas responded to a 9.0 earthquake in 2011 and to a world-class major provider of semiconductor assembly and testing services in developing its KW. At the end, several recommendations have been made for firms to prepare for resilience. Some related future research topics are also proposed.INDEX TERMS Supply chain resilience, semiconductor, knowledge warehouse, backcasting, case study.

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Section: A Characteristics Of the Semiconductor Industrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

et al. 2022

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A design science approach to manage spare parts distribution: combining design logic and Goldratt’s thinking processes

Gupta,

Lowalekar,

Chaudhari

et al. 2024

IJPDLM

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PurposeDesign Science (DS) is a relatively new paradigm for addressing complex real-world problems through the design and evaluation of artifacts. Its constituent methodologies are currently being discussed and established in numerous related research fields, such as information systems and management (Hevner et al., 2004). However, a DS methodology that describes the “how to” is largely lacking, not only in the field of OM but in general. The Theory of Constraints (TOC) and its underlying thinking processes (TP) have produced several novel artifacts for addressing ill-structured real-world operations problems (Dettmer, 1997; Goldratt, 1994), but they have not been analyzed from a DS research standpoint. The purpose of this research is to demonstrate how TOC’s thinking process methodology can be used for conducting exploratory DS research in Operations and Supply Chain Management (OSCM).Design/methodology/approachA case study of spare parts replenishment illustrates the use of TOC’s thinking processes in DS to structure an initially unstructured problem context and to facilitate the design of a novel solution.FindingsTOC’s thinking processes are an effective methodology for problem-solving DS research, enabling the development of novel solutions in initially unstructured and wicked problem situations. Combined with structured CIMO design logic TOC’s thinking process offers a systematic method for exploring wicked problems, designing novel solutions, and demonstrating theoretical contributions.Research limitations/implicationsThe implication for research is that TOC’s thinking process methodology can provide important elements of the lacking “how to” methodology for DS research, not only for the field of OM but in general for the field of management.Practical implicationsThe practical outcome of the research is a novel design for dynamic buffer-based replenishment that extends beyond organizational boundaries.Originality/valueThis work shows how the thinking processes can be used in DS research to develop rigorous design propositions for ill-structured problems.

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Integrated optimization of multiple warehouse replenishment for semiconductor manufacturing

Abstract: flexsim7.0 software is conducted to testify the proposed model and mechanism. The simulation results show that the improved solutions are achieved with the indicators of inventory quantity control, customer order fulfillment, and cycle time reduction.

Cited by 2 publications

References 23 publications

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

A design science approach to manage spare parts distribution: combining design logic and Goldratt’s thinking processes

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