scholarly journals Optimal Product Quality of Supply Chain Based on Information Traceability in Fashion and Textiles Industry: An Adverse Logistics Perspective

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Zhaolin Cheng ◽  
Jinghua Xiao ◽  
Kang Xie ◽  
Xiaoli Huang
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Product Quality ◽  
Control Method ◽  
Optimal Decision ◽  
Control Methods ◽  
Control Cost ◽  
Related Cost ◽  
Optimal Decision Making ◽  
The One

This paper investigates and compares two quality control methods, that is, inspection control and traceability control, to optimize supply chain quality in fashion and textiles industry. The objective is to maximize the supply chain participants’ expected profits and to achieve a Pareto improvement of supply chain product quality. Withqualityas a controllable variable indicating the level of opportunistic behavior, thereturnis interpreted as a function ofquality: the higher the quality, the lower the return. Taking into account bothqualityandinventory quantity, we propose and compare the optimal decision-making models for three control methods of supply chain, respectively: decentralized (no control), inspection, and traceability. Further, we use a numerical example to illustrate the relationships amongquality,profits,andquality-control costcoefficients (i.e., inspection-related cost and traceability-related cost). We then analyze and discuss the differences in the applications and scopes of the two control methods. On the one hand, given the poor standardization of fashion and textiles industry in the current practice (especially in China market), the cost of sampling inspection is relatively lower as compared to that of the traceability control method. On the other hand, with the improved industrial standardization and technology, traceability control tends to gain increasing advantages in cost and popularity.

Design of coordination contract for quality control-based supply chain under consumer balking behavior with fuzzy environment

2021 ◽  
pp. 1-11
Author(s):  
Chongfeng Lan
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Supply Chain ◽  
Wholesale Price ◽  
Real Life ◽  
Optimal Strategies ◽  
Optimal Decision ◽  
Fuzzy Environment ◽  
Decentralized Decision Making ◽  
Optimal Decision Making

Considering the ubiquity of consumer balking behavior (CBB) in real-life economics and the importance of product quality control (QC) to supply chain (SC) competitiveness, this paper explores the SC coordination under both the QC and the CBB. Specifically, the consumer’s loss aversion behavior was illustrated at a fixed balking probability, and the SC models were created for centralized and decentralized decision-making modes. After that, the optimal strategies for the retailer and the manufacturer were identified, and the comparative static analysis was adopted to explore the effects of the CBB and QC on the optimal decision-making of the SC. The research results show that the QC-based SC under the CBB cannot be coordinated by wholesale price contract alone, but can be coordinated perfectly by this contract when the retailer shares the quality effort and the manufacturer shares the oversupply cost and analyzed through the fuzzy environment with the formulation. This finding sheds new light on the theory and application of wholesale price contract in SC coordination. Finally, the parameter sensitivity analysis was performed on balking probability and product qualification rate (PQR) through numerical experiments, which further discloses the impacts of the CBB and product QC on the optimal decision-making and profit of the SC.

Operation decision of logistics service supply chain: considering interruption probability in emergencies

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guangsheng Zhang ◽  
Xiao Wang ◽  
Zhiqing Meng ◽  
Qirui Zhang ◽  
Kexin Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evolutionary Game ◽  
Optimal Strategies ◽  
Optimal Decision ◽  
Content Type ◽  
Logistics Service ◽  
Social Reputation ◽  
Punishment Intensity ◽  
Optimal Decision Making

PurposeTo remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.Design/methodology/approachRegarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.FindingsThe results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.Originality/valueFirst, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.

Postharvest packaging.

2021 ◽  
Author(s):  
John Golding
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Vital Role ◽  
Cut Flowers ◽  
Essential Component ◽  
The One

Abstract Packaging is an essential component of getting horticultural produce (fruit, vegetables or cut flowers) from the farm to the consumer. Packaging allows for the ease of handling and serves a vital role to protect and maintain product quality through the supply chain. Packaging of horticultural produce can be made of a range of products such as wood, fibreboard, jute (hessian) or plastics, where each packaging type is suitable for different applications. The best packaging type is the one that meets its purpose.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2020 ◽  
pp. 2128-2148
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Full Life ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2015 ◽  
Vol 8 (4) ◽  
pp. 44-62 ◽  
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Unsolved Problem ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

The Research of Coated Product Quality Control System Based on PAT

2014 ◽  
Vol 968 ◽  
pp. 226-229
Author(s):  
Xiao Qing Xu ◽  
Xiao Dong Hao ◽  
Shi Guang Zhou ◽  
Qi Fu Zhang
Keyword(s):  
Quality Control ◽  
Control System ◽  
Product Quality ◽  
Control Method ◽  
Process Analytical Technology ◽  
Quality Control System ◽  
Coating Process ◽  
Product Quality Control ◽  
Quality Control Method ◽  
Analytical Technology

This article describes the current quality control method during hot coating process. To improve the current quality control method during hot coating process, this article also elaborates the advanced coated product quality control system based on process analytical technology (PAT), the concept of which is “Quality by Design”, the targets of which are to enhance process stability and to improve the technological and economic index.

scholarly journals Customer Knowledge Enabled Innovation: Analyzing Pricing-Promotion Coordination Mechanism

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guanbing Zhao ◽  
Yangyang Qiu ◽  
Muhammad Imran ◽  
Fazal Manan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Repeated Game ◽  
Consumer Electronics ◽  
Coordination Mechanism ◽  
Optimal Decision ◽  
Consumer Electronic ◽  
Market Launch ◽  
Optimal Decision Making ◽  
New Consumer

Pricing and promotion are two important decisions during the market launch of new consumer electronics products. Nowadays, the pricing and promotion of consumer electronic products are often not made separately but at the same time. This study focuses on the pricing-promotion coordination mechanism of a secondary supply chain of new consumer electronics products (which consists of a manufacturer and a seller). Price and the degree of promotion together affect the demand for products. Manufacturers give sellers a sales target. Manufacturers and sellers set prices and promotions separately, introduce repurchase penalty joint contracts, and establish supply chain profit models to compare and analyze optimal pricing, promotion efforts, and maximum profit of supply chains under different decision-making situations. We prove that the repurchase penalty joint contract can coordinate the supply chain under the assumptions of a single-period game and a multiperiod repeated game. The results show that under the repurchase penalty joint contract, when manufacturers and sellers choose high prices and high promotions at the same time, the supply chain of new consumer electronics products has the largest profit. Finally, numerical experiments are conducted to study the influence of parameters on optimal decision-making and supply chain profits.

scholarly journals Versatile Quality Control Methods for Nanopore Sequencing

2019 ◽  
Vol 15 ◽  
pp. 117693431986306
Author(s):  
Davide Bolognini ◽  
Roberto Semeraro ◽  
Alberto Magi
Keyword(s):  
Quality Control ◽  
Control Method ◽  
Nanopore Sequencing ◽  
Control Methods ◽  
Sequencing Data ◽  
Third Generation Sequencing ◽  
Quality Control Method ◽  
Sequencing Platforms ◽  
Generation Sequencing

Third-generation sequencing using nanopores as biosensors has recently emerged as a strategy capable to overcome next-generation sequencing drawbacks and pitfalls. Assessing the quality of the data produced by nanopore sequencing platforms is essential to decide how useful these may be in making biological discoveries. Here, we briefly contextualized NanoR, a quality control method for nanopore sequencing data we developed, in the scenario of preexistent similar tools. We also illustrated 2 quality control pipelines, readily applicable to nanopore sequencing data, respectively, based on NanoR and PyPore, a second quality control method published by our group.

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