Taguchi's Loss Function in the Weight Quality of Products: Case Study of Cheese Making

2021 ◽  
pp. 453-466
Author(s):  
Nicolás Francisco Mateo-Díaz ◽  
Lidilia Cruz-Rivero ◽  
Luis Adolfo Meraz-Rivera ◽  
Jesús Ortiz-Martínez
Keyword(s):  
Loss Function ◽  
Cheese Making ◽  
Quality Of Products ◽  
Taguchi’S Loss Function

Visibility Analysis for Assembly Fixture Calibration Using Screen Space Transformation

2003 ◽  
Author(s):  
Zhenyu Kong ◽  
Wenzhen Huang ◽  
Dariusz Ceglarek
Keyword(s):  
Visibility Analysis ◽  
Space Transformation ◽  
Significant Burden ◽  
New Type ◽  
Quality Of Products ◽  
Screen Space ◽  
Calibration Time ◽  
Assembly Fixture

In a number of manufacturing processes, tooling installation, calibration and maintenance guarantee the precision of fixtures and play important roles towards the overall quality of products. Recently a new type of measurement equipment called “laser tracker” was developed and utilized for assembly fixture calibration to shorten calibration time and improve the accuracy of the currently used theodolite systems. Though, the calibration of assembly fixture is critical for product quality, the calibration time creates significant burden for productivity of multi-station assembly processes. In order to shorten the calibration lead time, the number of necessary calibration setups which is determined by visibility analysis needs to be minimized. This paper presents a screen space transformation based visibility analysis that allows minimizing the number of setups. The screen space transformation is applied to transform the visibility problem from 3D to 2D space, consequently the visibility problem can be solved efficiently. A case study illustrates the procedure and verifies the validity of the proposed methodology.

scholarly journals Performance Evaluation Using Multivariate Non-Normal Process Capability

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 833 ◽  
Author(s):  
Alatefi ◽  
Ahmad ◽  
Alkahtani
Keyword(s):  
Manufacturing Industry ◽  
Process Capability ◽  
Quality Characteristic ◽  
Process Capability Indices ◽  
Manufacturing Processes ◽  
Capability Indices ◽  
Skewness Reduction ◽  
Quality Of Products

Process capability indices (PCIs) have always been used to improve the quality of products and services. Traditional PCIs are based on the assumption that the data obtained from the quality characteristic (QC) under consideration are normally distributed. However, most data on manufacturing processes violate this assumption. Furthermore, the products and services of the manufacturing industry usually have more than one QC; these QCs are functionally correlated and, thus, should be evaluated together to evaluate the overall quality of a product. This study investigates and extends the existing multivariate non-normal PCIs. First, a multivariate non-normal PCI model from the literature is modeled and validated. An algorithm to generate non-normal multivariate data with the desired correlations is also modeled. Then, this model is extended using two different approaches that depend on the well-known Box–Cox and Johnson transformations. The skewness reduction is further improved by applying heuristics algorithms. These two approaches outperform the investigated model from the literature because they can provide more precise results regardless of the skewness type. The comparison is made based on the generated data and a case study from the literature.

scholarly journals Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Husein Pasha ◽  
Isa Nakhai Kamalabadi ◽  
Alireza Eydi
Keyword(s):  
Mixed Integer ◽  
High Quality ◽  
Swarm Optimization ◽  
Integrated Production ◽  
Quality Degradation ◽  
Production Distribution ◽  
Quality Of Products ◽  
Over Time

The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.

scholarly journals Position of Price in Determinants of Quality of Products (Case Study)

2015 ◽  
Vol 08 (02) ◽  
pp. 149-160
Author(s):  
Arash Hoseinkhani ◽  
Mohsen Nazari ◽  
Fereshteh Farzianpour ◽  
Shadi Hosseini
Keyword(s):  
Quality Of Products

scholarly journals The Effect of Innovation, Promotion, and Quality of Products on Consumer Loyalty with Satisfaction as Intervening Variables (Case Study Costumer PT. Mandom In Surabaya)

2021 ◽  
Vol 2 (3) ◽  
pp. 206-213
Author(s):  
Rega Irsa Irawan ◽  
Sengguruh Nilowardono
Keyword(s):  
Customer Satisfaction ◽  
Product Quality ◽  
Consumer Satisfaction ◽  
P Value ◽  
Consumer Loyalty ◽  
Significant Positive Effect ◽  
Quality Of Products ◽  
Positive Effect

This study aims to determine the effect of innovation, promotion, product quality on consumer loyalty with customer satisfaction as intervening. This research method uses quantitative with OLS analysis tools. The research instrument was a questionnaire with 75 samples of Gastby product consumers. The results of the study prove that Innovation has positive significant effect on consumer satisfaction as evidenced by the results of t value of 4.457 with p-value of 0.00, Innovation has significant positive effect on consumer loyalty as evidenced by the results of t value of 8.897 with p-value amounting to 0,000, promotion does not have a significant positive effect on customer satisfaction t value of 0.421 with a p-value of 0.674, promotion does not have a significant positive effect on consumer loyalty as evidenced by the result of t of 1,277 with a p-value of 0,202, quality the product has significant positive effect on customer satisfaction as evidenced by the results of t table (1.666) and p-value smaller than 0.05, product quality has significant positive effect on loyalty consumer as evidenced by the results of this value greater than t table (1.666 ) and p-value is smaller than 0.05 consumer power has an effect on consumer loyalty as evidenced by the results of t value of 4.689 with a p-value of 0.00.  

Energy efficiency to increase production and quality of products in industrial processes: case study oil and gas processing center

2019 ◽  
Vol 12 (6) ◽  
pp. 1619-1634 ◽  
Author(s):  
Alejandro M. Arriola-Medellín ◽  
Luis F. López-Cisneros ◽  
Alfonso Aragón-Aguilar ◽  
César A. Romo-Millares ◽  
Manuel F. Fernández-Montiel
Keyword(s):  
Energy Efficiency ◽  
Oil And Gas ◽  
Industrial Processes ◽  
Gas Processing ◽  
Quality Of Products

scholarly journals A NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEM

2021 ◽  
Vol 0 (0) ◽  
pp. 1-23
Author(s):  
Alptekin Ulutaş ◽  
Gabrijela Popovic ◽  
Pavle Radanov ◽  
Dragisa Stanujkic ◽  
Darjan Karabasevic
Keyword(s):  
Cost Effective ◽  
Timely Manner ◽  
Geographically Dispersed ◽  
Proposed Model ◽  
Quality Of Products ◽  
Psi Method ◽  
Selection Of ◽  
Transportation Company

Nowadays, customers are not only interested in the quality of products, but they also want to have these products in a timely manner. The managers of an organization are faced with two problems when the distribution of products is in question, namely: (1) customers are usually geographically dispersed and (2) transportation should be performed in a cost-effective way. Although managers may have a significant experience and formal knowledge, decisions connected with the selection of an appropriate transportation company may very often be biased. For the purpose of avoiding making the inadequate decisions that might harm the operation of the organization, the application of a hybrid MCDM model is proposed in this paper. The proposed model consists of three fuzzy MCDM methods, including: the PIPRECIA, the PSI, and the CoCoSo methods. The fuzzy-PIPRECIA method is used to achieve the subjective weights of criteria, whereas the fuzzy-PSI method is used to obtain the objective weights of criteria. Fuzzy-CoCoSo is utilized to rank alternative transportation companies according to their performances. The possibilities of the proposed hybrid model are tested on a real case study pointed at the selection of an appropriate company for the transportation of ready-garments to retailers in Turkey.

scholarly journals Coverage-based Approach for Model-based Testing in Software Product Line

2018 ◽  
Vol 7 (4.15) ◽  
pp. 63 ◽  
Author(s):  
Rabatul Aduni Sulaiman ◽  
Dayang Norhayati A. Jawawi ◽  
Shahliza Abd Halim
Keyword(s):  
Product Quality ◽  
Software Product Line ◽  
Product Line ◽  
Feature Model ◽  
Model Based ◽  
Model Based Testing ◽  
Software Product ◽  
Quality Of Products

Rapid Quality assurance is an important element in software testing in order to produce high quality products in Software Product Line (SPL). One of the testing techniques that can enhance product quality is Model-Based Testing (MBT). Due to MBT effectiveness in terms of reuse and potential to be adapted, this technique has become an efficient approach that is capable to handle SPL requirements. In this paper, the authors present an approach to manage variability and requirements by using Feature Model (FM) and MBT. This paper focuses on modelling the integration towards enhancing product quality and reducing testing effort. Further, the authors considered coverage criteria, including pairwise coverage, all-state coverage, and all-transition coverage, in order to improve the quality of products. For modelling purposes, the authors constructed a mapping model based on variability in FM and behaviour from statecharts. The proposed approach was validated using mobile phone SPL case study. 

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