Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
A Batch-wise ATP Procedure in Hybrid Make-to-Order/Make-to-Stock Manufacturing Environment
1
12
EN
Masoud
Rabbani
School of Industrial Engineering, College of Engineering, University of Tehran
mrabani@ut.ac.ir
Amir
Farshbaf-Geranmayeh
School of Industrial and System Engineering, College of Engineering, University of Tehran
afarshbaf@ut.ac.ir
Fereshteh
Vahidi
School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran
f.vahidi@ut.ac.ir
10.22070/jqepo.2017.1088.1030
<em><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: Calibri; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Satisfying customer demand necessitates manufacturers understanding the importance of Available-To-Promise (ATP). It directly links available resources to customer orders and has significant impact on overall performance of a supply chain. In this paper, an improvement of the batch-mode ATP function in which the partial fulfillment of the orders is available will be proposed. In other words, in a hybrid make-to-order/make-to-stock manufacturing environment, the proposed model responds to customer’s requests in 3 different ways; rejecting, fulfilling, and partial fulfilling. By using this procedure, the reliability of order fulfillment and the responsiveness of order promising will be enhanced. To evaluate the applicability of the proposed model, some numerical examples and sensitivity analysis are conducted. Results show that by applying partial fulfilment and penalty to backorders, the number of rejected orders and profit would be minimized and maximized, respectively.</span></em>
ATP,batch-mode ATP,partial fulfillment
https://jqepo.shahed.ac.ir/article_676.html
https://jqepo.shahed.ac.ir/article_676_450d6a193adfc63ef0b8433f0306bd62.pdf
Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
An Improved Tabu Search Algorithm for Job Shop Scheduling Problem Trough Hybrid Solution Representations
13
26
EN
Parviz
Fattahi
Alzahra University
p.fattahi@alzahra.ac.ir
Masume
Messi Bidgoli
Bu-Ali Sina University
bidgoli_m2000@yahoo.com
Parvaneh
Samouei
Bu-Ali Sina University
samouei_parvaneh@yahoo.com
10.22070/jqepo.2018.1360.1035
<em><span style="line-height: 200%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">Job shop scheduling problem (JSP) is an attractive field for researchers and production managers since it is a famous problem in many industries and a complex problem for researchers. Due to NP-hardness property of this problem, many meta-heuristics are developed to solve it. Solution representation (solution seed) is an important element for any meta-heuristic algorithm. Therefore, many researchers try to present different encodings to solve this problem. Fattahi et al., and Gen & Cheng suggested two solutions for this problem that both have advantages and weaknesses in searching solution space to reach an acceptable solution. In the current paper, a cyclic algorithm based on tabu search algorithm was proposed to improve the exploration and exploitation powers of these encodings. Also, several problems of different sizes are solved by it and the obtained results were compared. Results showed the applicability and effectiveness of the proposed solution representation in comparison with the existing ones</span></em>
Job Shop Scheduling Problem,Solution Representation,Tabu Search algorithm
https://jqepo.shahed.ac.ir/article_677.html
https://jqepo.shahed.ac.ir/article_677_23d2aa7b8e6067dde458b0e972df2541.pdf
Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
Systems Risk Analysis UsingHierarchical Modeling
27
42
EN
yahia
zare mehrjerdi
Department of Industrial engineering, Yazd University
mehrjerdyazd@gmail.com
10.22070/jqepo.2018.908.1028
<em><span style="color: black; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">A fresh look at the system analysis helped us in finding a new way of calculating the risks associated with the system</span><span style="color: black; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">. The author found that, due to the shortcomings of RPN, more researches needed to be done in this area to use RPNs as a new source of information for system risk analysis. It is the purpose of this article to investigate the fundamental concepts of failure modes and effects analysis to propose a conceptual hierarchically based model for calculating the risk associated with a system in general. To do so, the author developed a chance constrained goal programming model for solving the problem. A sample problem is provided to show the calculation process of risk evaluation. </span><span style="color: black; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-GB">The findings of this article can be used for calculating the level of risk associated with the entire system provided that the RPN of each unit of subsystems is known beforehand. This model helps the managers to calculate the system risk from the perspective of management, because it is a computer aided decision making (CADM) tool</span></em>
Failure Modes and Effects Analysis,CADM,Goal Programming,Chance Constrained Programming,RPN,Risk,System Risk Calculations
https://jqepo.shahed.ac.ir/article_678.html
https://jqepo.shahed.ac.ir/article_678_3c362db97c8a855b704c1b8ae86dfb3f.pdf
Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
A Multi-Criteria Analysis Model under an Interval Type-2 Fuzzy Environment with an Application to Production Project Decision Problems
43
66
EN
Y.
Dorfeshan
Shahed University
yahyad_147@yahoo.com
S. Meysam
Mousavi
Khalije Fars Highway
smemusavi@yahoo.com
Behnam
Vahdani
Islamic Azad University
b.vahdani@gmail.com
10.22070/jqepo.2018.2402.1049
<em>Using Multi-Criteria Decision-Making (MCDM) to solve complicated decisions often includes uncertainty, which could be tackled by utilizing the fuzzy sets theory. Type-2 fuzzy sets consider more uncertainty than type-1 fuzzy sets. These fuzzy sets provide more degrees of freedom to illustrate the uncertainty and fuzziness in real-world </em><em>production<em> projects. In this paper, a new multi-criteria analysis model is introduced based on new compromise ratio and relative preference relation methods by vicinity to positive ideal and distance from negative ideal concepts under an interval type-2 fuzzy environment. Also, qualitative criteria are expressed as linguistic variables. Relative preference relation is more reasonable than defuzzification, because defuzzification cannot provide preference degree between two fuzzy numbers and cannot keep all the information. In this paper, an extended relative preference relation over the average is presented to deal with numeral values. Finally, a real application to </em>designing and manufacturing of small electronic components, particularly for the aviation, defense, and space industries, <em>is adopted from the literature and solved</em> to determine the critical path <em>by considering efficient criteria such as time, cost, risk, and quality. </em></em>
Multi-criteria decision-making (MCDM),Interval type-2 fuzzy sets (IT2FSs),Relative preference relation,Compromise ratio method,Production projects,Critical path selection problem
https://jqepo.shahed.ac.ir/article_679.html
https://jqepo.shahed.ac.ir/article_679_7fa56664080f849fc1d0f3acf60c094a.pdf
Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
Applying Grey E-S-QUAL Model to Evaluate the Gaps between Expectation and Perception of the Customer Based on E-services Quality: A Case Study of an Iranian Online Retailer
67
80
EN
Seyed hasan
hosseini
shahrood university
sh.hosseini51@gmail.com
Mohammad Ehsan
Souri
MSc Student of MBA, Shahrood university of technology
ehsan.souri1991@gmail.com
Fatemeh
Sajjadian
MSc Student of MBA, Shahrood university of technology
fatemeh.sajadian2015@gmail.com
10.22070/jqepo.2018.1931.1042
<em><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-language: AR-SA; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US;">This study aims to apply Grey system based on modified E-S-Qual model to analyze e-service quality.Questionnaires on the basis of E-S-Qual model, which consisted in 7 dimensions, were distributed among</span><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-language: FA; mso-no-proof: yes; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US;"> customers of 5040.ir, an online retailer in Iran. 251 questionnaires were obtained</span><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-language: AR-SA; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US;">from the customer’s website. After applying the method and calculating the scores in each dimension, the gap between expectations and perceptions was calculated. The results show that, among 7 dimensions, there are </span><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-language: FA; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US;">4 positive and 3 negative gaps.</span><span style="line-height: 107%; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-bidi-language: FA; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US;">Accordingly,with the aid of the Importance-Performance Matrix, the results are further analyzed. At the end of this study, some suggestions are made for improving quality of the e-services based on results analysis</span></em>
E-service quality,E-S-QUAL model,Grey numbers,Iran
https://jqepo.shahed.ac.ir/article_680.html
https://jqepo.shahed.ac.ir/article_680_78d988116bee48e70a43d8bddcc4abc5.pdf
Journal of Quality Engineering and Production Optimization
3
1
2018
01
01
Preferred Robust Response Surface Design with Missing Observations Based on Integrated TOPSIS-AHP Method
81
91
EN
Atefeh
Ashuri
Industrial Engineering Department, Shahed University, Tehran, Iran
atefeh.ashuri@gmail.com
Mahdi
Bashiri
Industrial Engineering Department, Shahed University, Tehran, Iran
bashiri.m@gmail.com
Amirhossein
Amiri
0000-0002-2385-8910
Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran
amirhossein.amiri@gmail.com
10.22070/jqepo.2018.1110.1033
<strong>- Missing observations occur in experimental designs as a result of insufficient sampling, machine breakdown, high cost, and errors in the measurements. In nanomanufacturing, missing observations often appear in designs because the combination of factors or molecular structures selected by a designer cannot be experimented successfully. In the current paper, Box-Behnken and face-centered composite designs were studied and eight robustness criteria including D-efficiency, <em>t<sub>max</sub></em>, <em>t<sub>max</sub></em>(</strong> <strong>), and their related sub-criteria were considered to evaluate the robustness of the aforementioned designs. Finally, the integrated TOPSIS-AHP methodology was employed to select the most suitable robust design, and a numerical example was also presented to assess the applicability of the proposed approach</strong>
Robustness criteria,Preferred robust response surface design,TOPSIS-AHP methodology,Nanomanufacturing
https://jqepo.shahed.ac.ir/article_681.html
https://jqepo.shahed.ac.ir/article_681_8c4330053cc6192fe3c842aa45bda3b5.pdf