Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface

Sivadasan, Suja; Smart, Janet; Huatuco, Luisa Huaccho; Calinescu, Anisoara

doi:10.1016/j.ijpe.2013.04.043

Cited by 18 publications

(34 citation statements)

References 51 publications

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“…Based on the Council of Supply Chain Management Professional (CSCMP), supply chain is identical to a complex system with a series of activities including planning and managing the entire process in supply chain network. Supply chain also consists of simultaneous interaction between companies and channel or partners in uncertain conditions (Sivadasan et al, 2002(Sivadasan et al, , 2006(Sivadasan et al, , 2010(Sivadasan et al, , 2013Motiwalla and Thompson, 2012). The main key to effectively manage a supply chain network is to manage the process of coordination and integration between supply chain network component (channel/partner) and supply chain network flow (Motiwalla and Thompson, 2012).…”

Section: Supply Chainmentioning

confidence: 99%

“…Supply chain complexity could be clustered by the interrelated characteristics within systems and divided into structural complexity and operational complexity (Sivadasan et al, 2002(Sivadasan et al, , 2013de Leeuw, Grotenhuis and van Goor, 2013;Cheng, Chen and Chen, 2014). Operational complexity is associated with interaction between components in the system, which continuously change and refers to the degree of predictability and uncertainty within the systems.…”

Section: Business Conditions and Supply Chain Complexitymentioning

confidence: 99%

“…Structural complexity is associated with a variety of components in a static and fixed system, which is related to number and variety of elements defining the systems. Sivadasan et al (2013) proposed quantitative methods to measure the level of supply chain complexity in different characteristics of business conditions using operational complexity approach. The characteristic of business condition is divided into commodity production companies (make-to-order) and customizing production companies (make-to-stock).…”

Section: Business Conditions and Supply Chain Complexitymentioning

confidence: 99%

See 2 more Smart Citations

Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Huddiniah

2019

OSCM: An Int. Journal

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Recently, many companies are competing against each other to be the first to offer new product in the market, even when offering new products brings additional challenges for their operations. At the same time, information technology is chosen as the most effective solution to help company facing supply chain problems that arise due to increasing flow of materials and information in the supply chain. However, many companies still do not fully considered the importance of aligning the needs of information technology with the supply chain and business conditions. This paper conduct a structured literature review on the influence of product variety, supply chain complexity, and the needs level of information technology. Based on the literature review a conceptual framework is developed that highlight three propositions: the potential relations between product variety and supply chain complexity, supply chain complexity and information technology, and the importance of aligning the implementation of information technology with the company's business condition. Finally, the main propositions from this study is that there are potential connections among product variety, supply chain complexity, business condition and information technology.

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Section: Supply Chainmentioning

confidence: 99%

Section: Business Conditions and Supply Chain Complexitymentioning

confidence: 99%

Section: Business Conditions and Supply Chain Complexitymentioning

confidence: 99%

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Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Huddiniah

2019

OSCM: An Int. Journal

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“…Ulrich and Eppinger [10] assigned performance parameters to product configurations and their variations, development, purchase, logistics, production, IT, but practically to every facility sub-process. Finally authors [11,12] developed an information-based measure applicable in complexity assessment of any manufacturing system.…”

Section: State Of the Art In Manufacturing Complexity Managementmentioning

confidence: 99%

Modeling and Determining Product Variety for Mass-customized Manufacturing

2014

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A great challenge facing final manufacturers of final products and OEMs today is product variety management which is crucial for masscustomized manufacturing. Product variations in most industries tend to be very numerous and firms often find themselves under pressure to solve problems with over-inventories, planning and product assembly complexity. In this paper, we investigate and present an approach to creating all possible product configurations and variations based on a given number of base components and optional number of complementary components. The idea of determining all possible product architectures is to investigate the influence of product variety on complexity of assembly processes.

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“…This paper analyzes the structural complexity of the supply chain affected by technological, organizational and environmental adverse events in the SCs, consequences of which lead, as a result, to violations of correct functioning of the SC. The detailed definition and analysis of the supply-chain structural complexity can be found in [2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Entropy-Based Algorithm for Supply-Chain Complexity Assessment

Kriheli

Levner

2018

Algorithms

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This paper considers a graph model of hierarchical supply chains. The goal is to measure the complexity of links between different components of the chain, for instance, between the principal equipment manufacturer (a root node) and its suppliers (preceding supply nodes). The information entropy is used to serve as a measure of knowledge about the complexity of shortages and pitfalls in relationship between the supply chain components under uncertainty. The concept of conditional (relative) entropy is introduced which is a generalization of the conventional (non-relative) entropy. An entropy-based algorithm providing efficient assessment of the supply chain complexity as a function of the SC size is developed.

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Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface

Cited by 18 publications

References 51 publications

Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Product Variety, Supply Chain Complexity and the Needs for Information Technology: A Framework Based on Literature Review

Modeling and Determining Product Variety for Mass-customized Manufacturing

Entropy-Based Algorithm for Supply-Chain Complexity Assessment

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