FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2361673085> ?p ?o ?g. }

• W2361673085 abstract "This paper investigates strategy and supply chain quality control problems in order to address uncertainty in quality control and ensure the effectiveness of supply chain operation. A multi-product,multi-stage supply chain consists of one manufacturer and one buyer. The manufacturer can choose a certain level of quality prevention to produce and sell products to the buyer. The buyer may choose its quality level to evaluate items and make three kinds of decisions after evaluation:( 1) accept good products,( 2) accept defective products,and( 3) accept potentially defective products. Internal failure happens to the buyer in the case of defective products and a penalty is placed on the manufacturer. External failure happens to the buyer in the case of potentially defective products and a big penalty is then given to the manufacturer. In the process of supply chain operation,the buyer optimizes its quality requirements and order quantity in order to maximize its own objective profit. The manufacturer decides how to deliver products to the buyer in order to maximize profit.We proposed a research model to achieve three objectives. The first objective is to improve supply chain cooperation between the manufacturer and the buyer so that the delivery quantity from the manufacturer equals to the order quantity of the buyer. The second one is to maximize the manufacturer's profit. The third objective is to maximize the buyer's profit. A basic programming model was developed to describe three operational objectives accordingly. The manufacturer makes profits from selling quality products and defective ones after subtracting production costs,material procurements,holding costs,and penalties from the buyer for both internal and external quality failures. On the other hand,the buyer benefits from selling quality products,defective ones,and potentially defective ones after subtracting procurement costs,holding costs,and penalties from the buyer for internal and external quality failures.Interval analysis method is used to describe the uncertainty of quality prevention levels. When mass production process is under good control,the manufacturer's quality prevention level is assumed to be a random variable in the form of normal distribution. The practical value of quality prevention level deviates near the expected standard value. For convenience,it is proposed to describe the uncertainty in quality prevention level by symmetric bounded intervals. Furthermore,analysis is made to understand the effect of uncertainty on the profit objectives of manufacturers and buyers. The effect is then quantified and added to the objective functions of the manufacturer and the buyer. Bertsimas' s robust linear method can be used to deal with the fluctuation model. The manufacturer and buyer's objective functions with uncertainty in quality prevention level can be turned into several constraints for the problem. At the same time,the manufacturer and buyer's operation objectives are rewritten in the form of a new objective programming model for supply chains.The manufacturer's operation depends on the buyer's order quantity even though the manufacturer's operation influences the buyer's order quantity. In the research,the buyer's objective precedes the manufacturer's one. Supply chains operate under the condition that the delivery can meet the order requirements from the buyer. Three priority factors are defined for these three objectives in supply chain operations. The whole supply chain is considered as an integrated one and an objective programming model is developed after integrating these three objectives: maximization of the manufacturer's operation profit,maximization of the buyer's operation profit,and the delivery volume equaling to order quantity. The buyer's capacity constraints on stock volume,production volume,and actual sales are included in the model in addition to the manufacturer's stock capacity constraint. Thus,the optimization problem is turned into a linear one and the model is easily optimized. The three objectives in supply chain operations can be satisfied at the same time,and the objective programming model is robust when quality prevention level fluctuates within some extent.In addition,a numerical example is given. Linprog tools in the Matlab 7. 0 Optimizer software are used to solve the objective programming model. Computation is done for two cases when the manufacturer's quality prevention level is certain and uncertain,respectively. The operation strategy is derived through optimization which includes manufacturer's production volume,delivery volume,stock volume,the buyer's order quantity,stock volume,and sales volume. Comparison results show that the manufacturer's decision on operations is the same as the buyer's when the manufacturer's quality prevention level fluctuates within 0. 1 units. The only difference is that their profits are reduced by 3. 86% and 10. 78 %,respectively. Moreover,a computation is done after considering that the manufacturer's quality prevention level fluctuates from 0. 1 units to 2. 6 units. Results indicate that the uncertainty of quality prevention level within certain limits weakens the performance of supply chain when operation strategy is still working. That is,the model and its solution are both robust.Finally,a method and a technique for modeling and optimizing supply chain quality control are proposed with the objectives of coordinating quality control and strengthening its ability to deal with uncertainty in supply chain operations." @default.
• W2361673085 created "2016-06-24" @default.
• W2361673085 creator A5003495719 @default.
• W2361673085 date "2015-01-01" @default.
• W2361673085 modified "2023-09-23" @default.
• W2361673085 title "A Robust Design Model for Quality Control in Supply Chains with Quality Prevention Uncertainty" @default.
• W2361673085 hasPublicationYear "2015" @default.
• W2361673085 type Work @default.
• W2361673085 sameAs 2361673085 @default.
• W2361673085 citedByCount "0" @default.
• W2361673085 crossrefType "proceedings-article" @default.
• W2361673085 hasAuthorship W2361673085A5003495719 @default.
• W2361673085 hasConcept C10138342 @default.
• W2361673085 hasConcept C108713360 @default.
• W2361673085 hasConcept C111472728 @default.
• W2361673085 hasConcept C112930515 @default.
• W2361673085 hasConcept C1199943 @default.
• W2361673085 hasConcept C127413603 @default.
• W2361673085 hasConcept C138885662 @default.
• W2361673085 hasConcept C144133560 @default.
• W2361673085 hasConcept C162324750 @default.
• W2361673085 hasConcept C162853370 @default.
• W2361673085 hasConcept C175444787 @default.
• W2361673085 hasConcept C181622380 @default.
• W2361673085 hasConcept C182306322 @default.
• W2361673085 hasConcept C2524010 @default.
• W2361673085 hasConcept C2779530757 @default.
• W2361673085 hasConcept C33923547 @default.
• W2361673085 hasConcept C41008148 @default.
• W2361673085 hasConcept C42475967 @default.
• W2361673085 hasConcept C44104985 @default.
• W2361673085 hasConcept C90673727 @default.
• W2361673085 hasConceptScore W2361673085C10138342 @default.
• W2361673085 hasConceptScore W2361673085C108713360 @default.
• W2361673085 hasConceptScore W2361673085C111472728 @default.
• W2361673085 hasConceptScore W2361673085C112930515 @default.
• W2361673085 hasConceptScore W2361673085C1199943 @default.
• W2361673085 hasConceptScore W2361673085C127413603 @default.
• W2361673085 hasConceptScore W2361673085C138885662 @default.
• W2361673085 hasConceptScore W2361673085C144133560 @default.
• W2361673085 hasConceptScore W2361673085C162324750 @default.
• W2361673085 hasConceptScore W2361673085C162853370 @default.
• W2361673085 hasConceptScore W2361673085C175444787 @default.
• W2361673085 hasConceptScore W2361673085C181622380 @default.
• W2361673085 hasConceptScore W2361673085C182306322 @default.
• W2361673085 hasConceptScore W2361673085C2524010 @default.
• W2361673085 hasConceptScore W2361673085C2779530757 @default.
• W2361673085 hasConceptScore W2361673085C33923547 @default.
• W2361673085 hasConceptScore W2361673085C41008148 @default.
• W2361673085 hasConceptScore W2361673085C42475967 @default.
• W2361673085 hasConceptScore W2361673085C44104985 @default.
• W2361673085 hasConceptScore W2361673085C90673727 @default.
• W2361673085 hasLocation W23616730851 @default.
• W2361673085 hasOpenAccess W2361673085 @default.
• W2361673085 hasPrimaryLocation W23616730851 @default.
• W2361673085 hasRelatedWork W1973583348 @default.
• W2361673085 hasRelatedWork W1982702618 @default.
• W2361673085 hasRelatedWork W1989230799 @default.
• W2361673085 hasRelatedWork W2028161517 @default.
• W2361673085 hasRelatedWork W2043107488 @default.
• W2361673085 hasRelatedWork W2063514653 @default.
• W2361673085 hasRelatedWork W2132653942 @default.
• W2361673085 hasRelatedWork W2274261547 @default.
• W2361673085 hasRelatedWork W2278738422 @default.
• W2361673085 hasRelatedWork W2356453863 @default.
• W2361673085 hasRelatedWork W2417711215 @default.
• W2361673085 hasRelatedWork W2526161209 @default.
• W2361673085 hasRelatedWork W2989739104 @default.
• W2361673085 hasRelatedWork W2999250805 @default.
• W2361673085 hasRelatedWork W3009554438 @default.
• W2361673085 hasRelatedWork W3121092126 @default.
• W2361673085 hasRelatedWork W780125237 @default.
• W2361673085 hasRelatedWork W85489762 @default.
• W2361673085 hasRelatedWork W2229514275 @default.
• W2361673085 hasRelatedWork W2886227479 @default.
• W2361673085 isParatext "false" @default.
• W2361673085 isRetracted "false" @default.
• W2361673085 magId "2361673085" @default.
• W2361673085 workType "article" @default.