Efficient assignment algorithms to minimize operation cost for supply chain networks in agile manufacturing

Jiang, Weiwen; Sha, Edwin H.-M.; Zhuge, Qingfeng; Wu, Liqun

doi:10.1016/j.cie.2017.04.014

Cited by 13 publications

(9 citation statements)

References 28 publications

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“…Traditional methods, which set targets for the supply chain, merely consider economic factors such as cost reduction, time reduction, timely delivery of goods, etc. (Jiang et al, 2017). In comparison to conventional approaches, consumer demands have evolved in such a way that the company's environmental and social performance has now become as relevant as its economic performance from the point of view of its consumers.…”

Section: Environmental Friendlinessmentioning

confidence: 99%

Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis

Shaharudin

Suhaimi

Fernando

et al. 2021

IJIM

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The purpose of this paper is to present a plan on how to improve the operational efficiency of the company during the Covid-19 period. Previous research has been reviewed in order to gain further knowledge of the problem; primarily on the operational performance, as well as on the supply chain management of the company. The results have shown that, on the basis of a social network analysis, the Procurement Engineer is the most influential individual in the management of information within the organization, where the Procurement Engineer is also the employee who has a strong link with the transfer of data to top management, the Ishikawa diagram indicates that the present environment is the primary cause of the company's problems in finding products, while the Tree diagram shows the only approach to the issue of insufficient employees is by supplying training for new or existing workers or by assigning staff from another department to serve permanently in a department where there is a lack of staff. In addition, the Enterprise Resource Planning (ERP) framework will strengthen the green supply chain management of the business as it will help to reduce the loss of time waiting for or processing the company's materials, thereby reducing the cost as well. This research offers proof of the pre-Covid 19 and post-Covid 19 impacts on green supply chain operational performance.

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Section: Environmental Friendlinessmentioning

confidence: 99%

Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis

Shaharudin

Suhaimi

Fernando

et al. 2021

IJIM

View full text Add to dashboard Cite

show abstract

“…A number of methods are used to calculate DSM clustering results, such as original manual calculation, fuzzy clustering analysis, and clustering operation using an intelligent algorithm [17]. Tian et al [18] used an improved genetic algorithm for intelligent clustering of DSM in the supply chain.…”

Section: Modularization Of Supply Chain Networkmentioning

confidence: 99%

Analysis of Minimum Cost of Supply Chain Emergencies Based on Diffusion Path Processing

Cao

Tian

Wei

et al. 2020

Mathematical Problems in Engineering

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In view of the complexity and severity of the impact of supply chain emergencies on enterprise economy, this paper proposes modular processing to improve the design structure matrix (DMS), and the designed clustering algorithm is used to perform cluster analysis of the improved DMS, to predict the possible diffusion path of emergencies, and to establish the critical event diffusion path planning model by designing the critical event diffusion path storage method. As in the case data of a certain type of servo motor of the H Company, after data screening, the diffusion path is classified and stored by analyzing the relationship between each member of the supply chain network. Secondly, the same group of data is put into the method of this paper and other scholars’ to calculate the minimum cost of emergency response in time.

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“…Green in-plant supply problems are represented by carbon cap constrained manufacturing system, where green solutions can support sustainability [67]. The financial aspects of manufacturing supply are analyzed from price [68,69], operational costs [70], and profit [71] points of view. Responsiveness, robustness, and resilience (known as "Triple R") become more and more important in logistics and material handling [72] because customer satisfaction is based on "Triple R"-based performance of manufacturing and related logistics operations [73].…”

Section: Content Analysismentioning

confidence: 99%

Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production

et al. 2019

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In the context of Industry 4.0, the matrix production concept represents revolutionary solutions from a technological and logistics point of view. In a matrix production system, flexible, configurable production and assembly cells are arranged in a grid layout, and the in-plant supply is based on autonomous vehicles. Adaptable and flexible material handling solutions are required to perform the dynamically changing supply-demands of standardized and categorized manufacturing and assembly cells. Within the frame of this paper, the authors describe the in-plant supply process of matrix production and the optimization potential in these processes. After a systematic literature review, this paper introduces the structure of matrix production as a cyber-physical system focusing on logistics aspects. A mathematical model of this in-plant supply process is described including extended and real-time optimization from routing, assignment, and scheduling points of view. The optimization problem described in the model is an NP-hard problem. There are no known efficient analytical methods to find the best solution for this kind of problem; therefore, we use heuristics to find a suitable solution for the above-described problem. Next, a sequential black hole–floral pollination heuristic algorithm is described. The scenario analysis, which focuses on the clustering and routing aspects of supply demands in a matrix production system, validates the model and evaluates its performance to increase cost-efficiency and warrants environmental awareness of the in-plant supply in matrix production.

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Efficient assignment algorithms to minimize operation cost for supply chain networks in agile manufacturing

Cited by 13 publications

References 28 publications

Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis

Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis

Analysis of Minimum Cost of Supply Chain Emergencies Based on Diffusion Path Processing

Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production

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