A Study on Leagile Supply Chain Model and Performance Evaluation System Based on Lean Agile Theory

2014 ◽  
Vol 635-637 ◽  
pp. 1771-1775 ◽  
Author(s):  
Hui Min Jia ◽  
Kai Chao Yu ◽  
Jin Chang Zhang

Leagile supply chain integrates lean supply chain and agile supply chain. In this paper, the theory of lean production and agile manufacturing are compared and analyzed, and then the leagile supply chain model and the performance evaluation system based on DEA are established. Based on the above, this paper provides an example of the evaluation system to verify the operability and effectiveness, which can provide the reference for enterprises to improve operating mode of the supply chain or develop a new leagile supply chain.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaheng Zhang ◽  
Zekai Lin ◽  
Lin Xiao

In the two-stage supply chain model, the incentive effect to the supplier’s sharing of demand information and performance evaluation and the effect of various parameters on the incentive effect of the supply chain are studied through a multiagent simulation model constructed for the purpose. It is found that the incentive coefficient of demand information-sharing degree, the number of selected suppliers, the order allocation coefficient, and the order proportion are positively related to the incentive effect of demand information sharing. So, the greater the demand information sharing is, the greater the impact of these parameters on the incentive effect is. Based on the demand information sharing, the supplier performance evaluation rules are shared, and when the actual evaluation rules are inconsistent with the supplier’s expectations, the incentive effect is further enhanced. Other parameters do not affect the incentive effect of demand information sharing and performance evaluation rule sharing.


2014 ◽  
Vol 1037 ◽  
pp. 532-535
Author(s):  
Li Zhen Du ◽  
De Xin Tao ◽  
Lian Qing Yu

According to the definition of integrated supply chain performance, improved method of grey relational evaluation and multi-level dynamic fuzzy comprehensive evaluation method are adopted to comprehensively evaluate the overall performance of the integrated supply chain. Based on these, the Performance Evaluation System (PES) of the integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example, and the system can provide a convenient operation tool and scientific, objective decision basis for managers to evaluate the integrated supply chain performance.


2011 ◽  
Vol 467-469 ◽  
pp. 853-858 ◽  
Author(s):  
Zhou Miao ◽  
Ke Lin Xu

An integrated production-inventory-delivery lean supply chain model is discussed. The model is integrated with production, supply and distribution through cost. And the delivery of purchasing and distribution is consolidated. A non-linear programming model with multivariable is proposed. The length of path and the frequency of delivery are regarded as decision-making variables. The optimal delivery path and the length of path are first solved by using improved ant colony optimization algorithm. And the optimal frequency of delivery and the batch of delivery are achieved. Last, the model is validated through an example and the result indicates the model is simple and practical. Moreover it is meaningful for practice.


2016 ◽  
Vol 11 (1) ◽  
pp. 43-74 ◽  
Author(s):  
Premaratne Samaranayake ◽  
Tritos Laosirihongthong

Purpose – The purpose of this paper is to develop a conceptual framework of integrated supply chain model that can be used to measure, evaluate and monitor operational performance under dynamic and uncertain conditions. Design/methodology/approach – The research methodology consists of two stages: configuration of a conceptual framework of integrated supply chain model linked with performance measures and illustration of the integrated supply chain model and delivery performance using a case of dairy industry. The integrated supply chain model is based on a unitary structuring technique and forms the basis for measuring and evaluating supply chain performance. Delivery performance with variation of demand (forecast and actual) is monitored using a fuzzy-based decision support system, based on three inputs: capacity utilization (influenced by production disruption), raw materials shortage and quality of dairy products. Findings – Integration of supply chain components (materials, resources, operations, activities, suppliers, etc.) of key processes using unitary structuring approach enables information integration in real time for performance evaluation and monitoring in complex supply chain situations. In addition, real-time performance monitoring is recognized as being of great importance for supply chain management in responding to uncertainties inherent in the operational environment. Research limitations/implications – Implementation of an integrated model requires maintenance of supply chain components with all necessary data and information in a system environment such as enterprise resource planning. Practical implications – The integrated model provides decision-makers with an overall view of supply chain components and direct links that need to be maintained for supply chain performance evaluation and monitoring. Wider adaptation and diffusion of the proposed model require further validation of the model and feasibility of implementation, using real-time data and information on selected performance measures. Originality/value – Integration of supply chain components across supply chain processes directly linked with performance measures is a novel approach for effective supply chain performance evaluation and monitoring in complex supply chains under dynamic and uncertain conditions.


1998 ◽  
Vol 9 (2) ◽  
pp. 21-34 ◽  
Author(s):  
David J. Closs ◽  
Anthony S. Roath ◽  
Thomas J. Goldsby ◽  
James A. Eckert ◽  
Stephen M. Swartz

This paper reports simulation research that empirically investigates and compares supply chain performance under varying conditions of information exchange and demand uncertainty. Specifically, the research objective is to quantitatively document the characteristics and performance impact of information exchange among supply chain entities. The findings suggest that the response‐based supply chain model consistently outperforms the anticipatory model in terms of customer service delivered under conditions of both low and high demand variation. Comparisons of inventory holdings across supply chain models demonstrate that the retailers' inventory burden is significantly lower in the response‐based scenario. The inventory savings enjoyed by retailers in the response‐based model are substantial enough to lower system‐wide inventories. In sum, the study supports the feasibility of achieving both improved service and lower inventories as a result of information sharing.


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