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 Decision Support System in Choosing The Quality of Charcoal Briquettes from Coconut Shell to Improve The Quality and Maximised by The Method of Analytical Hierarchy Process (the case study in Padang pariaman)

2020 ◽  
Vol 10 (2) ◽  
pp. 199-205
Author(s):  
Ilham Siregar ◽  
Wahyuni Yahyan ◽  
Danyl Mallisza
Keyword(s):  
Coconut Shell ◽  
Plant Oil ◽  
Coconut Charcoal ◽  
Alternate Choice ◽  
West Sumatra ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of

The regency of Padang Pariaman is one of the centres of the plantation to the plant oil in the region of West Sumatra. Many find various types of plant oil that spread in every area. Decision-Making system (DSS) should be able to understand the problems that exist that are the basis for the decision (the decision Maker) to determine the priority of the selection and determine the type of charcoal coconut charcoal quality to be used as briquettes. This study obtained the top Level (Goal) is the selection of Charcoal Material priorities approved as the purpose of this study. The Level of the heart (the Criterion) in the hierarchy that shows the criteria that the Color of the Skin, Coconut Fiber, Coconut Shell, water Content, Coconut Meat. The lowest Level (Alternatives) in the hierarchy that shows the alternate choice of the Type of Coconut, which is helpful as briquettes, that Old Coconut, Coconut Koreang, Coconut Mudang, Young Coconut. Of the highest rank possessed by the alternatives is the type of Old Coconuts (0.600) and second by the kind of Coconut Koreang 2 (0.242), the Type of Coconut 3 Coconut Mudang (0.113) and ranking low is a Young Coconut (0.046) as a material consideration in the manufacture of charcoal quality then in the analysis, the priority is the “Old Palm”   Keywords: Coconut, Briquettes, Shell, DSS, AHP

scholarly journals Phenotypic Variation in Fruit Morphology among Provenances ofSclerocarya birrea(A. Rich.) Hochst.

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Idah Mkwezalamba ◽  
Chimuleke R. Y. Munthali ◽  
Edward Missanjo
Keyword(s):  
Seed Weight ◽  
Fruit Weight ◽  
The Other ◽  
Fruit Traits ◽  
Fruit Length ◽  
Sclerocarya Birrea ◽  
The Mean ◽  
Quality Of Products ◽  
Selection Of

Sclerocarya birrea(A. Rich.) Hochst. is a multipurpose fruit tree which is very useful in providing food security and meeting nutritional and economic needs. This study was conducted to assess eighteen provenances ofSclerocarya birreaplanted in Mangochi, Malawi. The trial was assessed for fruit traits at fifteen years of age. There were significant (P<0.001) variations among the provenances in number of fruits, fruit weight, pulp weight, seed weight, fruit length, and diameter. Magunde provenance from Mozambique had the highest mean number of fruits, 2196 ± 200. Mangochi and Moamba provenances from Malawi and Mozambique were the most outstanding in the other parameters measured attaining the mean fruit weight of 20.89 ± 0.25 g and 25.67 ± 0.67 g, pulp weight of 25.70 ± 0.08 g and 21.55 ± 0.83 g, seed weight of 4.81 ± 0.35 g and 4.12 ± 0.18 g, fruit length of 2.61 ± 0.14 cm and 2.33 ± 0.07 cm, and fruit diameter of 2.33 ± 0.15 cm and 1.97 ± 0.08 cm, respectively. There was no significant (P>0.05) correlation between number of fruits and the other fruit traits. However, there were significant (P<0.05) and strong positive relationships between fruit weight and pulp weight (r=0.987) and fruit length and diameter (r=0.775). This suggests that fruit weight can be used indirectly for selection of pulp. Further studies should investigate fruit taste quality of products from the fruits.

An analytical model for predicting noise radiated by switch reluctance electric motors

2021 ◽  
Vol 263 (2) ◽  
pp. 4100-4110
Author(s):  
Murat Inalpolat ◽  
Bahadir Sarikaya ◽  
Enes Timur Ozdemir ◽  
Hyun Ku Lee
Keyword(s):  
Magnetic Energy ◽  
Cost Effective ◽  
Torque Ripple ◽  
Air Gap ◽  
Sound Power ◽  
Electromagnetic Forces ◽  
Phase Switching ◽  
Proposed Model ◽  
Torque Ripples

Switch reluctance motors (SRM) have become a prominent alternative for electric vehicles in recent years due to their simple, high power density architecture and cost-effective manufacturability. Despite its potential, NVH problems have been one of the biggest challenges for SRM's implementation. Vibration and noise generated by the SRM are mainly caused by phase switching related torque ripple, unbalanced electromagnetic forces from air gap variations and lamination problems. Our proposed model is an analytical noise radiation prediction model which relates geometrical, material and electrical design inputs to radiated sound power. The electromagnetic part of the model is nonlinear with saturation and provides back-emf and flux linkage by receiving design inputs. The computed magnetic energy, radial and tangential rotor forces are utilized as excitation sources to a continuous shell dynamic model to obtain the steady-state vibration response. Finally, surface velocities obtained from the shell model are used to calculate sound power. Utilizing a shell structure provides axial, radial and tangential information on the casing by considering the effect of magneto-restrictive forces of laminations, torque ripples and unbalanced electromagnetic forces. The effect of air gap, lamination error, and stator and rotor geometry on sound radiation are studied through an example case study.

SIX-SIGMA PROGRAM TO ENHANCE THE QUALITY OF PRODUCTS: A CASE STUDY OF SOUTH AFRICAN MEAT INDUSTRY

2021 ◽  
Author(s):  
Semanga Mabuza ◽  
Nita Sukdeo ◽  
Sambil Charles Mukwakungu
Keyword(s):  
South African ◽  
Six Sigma ◽  
Meat Industry ◽  
Quality Of Products

An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment

2019 ◽  
pp. 41-62 ◽  
Author(s):  
Tapas Kumar Biswas ◽  
Željko Stević ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Electric Vehicles ◽  
Sustainability Assessment ◽  
Model Performance ◽  
Compromise Solution ◽  
Holistic Model ◽  
Proposed Model ◽  
Criteria Importance ◽  
Assessment Problems ◽  
Selection Of

In this chapter, a holistic model based on a newly developed combined compromise solution (CoCoSo) and criteria importance through intercriteria correlation (CRITIC) method for selection of battery-operated electric vehicles (BEVs) has been propounded. A sensitivity analysis has been performed to verify the robustness of the proposed model. Performance of the proposed model has also been compared with some of the popular MCDM methods. It is observed that the model has the competency of precisely ranking the BEV alternatives for the considered case study and can be applied to other sustainability assessment problems.

Simulating E-business Innovation Process Improvement with Virtual Teams Across Europe and Asia

2011 ◽  
pp. 1023-1043
Author(s):  
Kenneth D. Strang ◽  
Cliff E.L. Chan
Keyword(s):  
Virtual Teams ◽  
New Product Development ◽  
Quality Function Deployment ◽  
Phase 1 ◽  
Innovation Process ◽  
New Product ◽  
Geographically Dispersed ◽  
Proposed Model ◽  
The Voice

In this article, E-business new product development innovation processes were studied at four enterprises across Europe and Asia. E-entrepreneurship innovation was improved using a quality of idea priority model. The conventional quality function deployment phase 1 matrix was revised to increase the voice of customers and engineer quality of idea decision-making. The proposed model was simulated with geographically dispersed virtual teams (based on production data). Statistical analyses were applied to test the hypothesis that an improved innovation process could better discriminate between new product return on investment pass or fail probability.

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

Simulating E-business Innovation Process Improvement with Virtual Teams Across Europe and Asia

2010 ◽  
Vol 1 (1) ◽  
pp. 22-41 ◽  
Author(s):  
Kenneth D. Strang ◽  
Cliff E.L. Chan
Keyword(s):  
Virtual Teams ◽  
New Product Development ◽  
Quality Function Deployment ◽  
Phase 1 ◽  
Innovation Process ◽  
New Product ◽  
Geographically Dispersed ◽  
Proposed Model ◽  
The Voice

In this article, E-business new product development innovation processes were studied at four enterprises across Europe and Asia. E-entrepreneurship innovation was improved using a quality of idea priority model. The conventional quality function deployment phase 1 matrix was revised to increase the voice of customers and engineer quality of idea decision-making. The proposed model was simulated with geographically dispersed virtual teams (based on production data). Statistical analyses were applied to test the hypothesis that an improved innovation process could better discriminate between new product return on investment pass or fail probability.

scholarly journals Selection of catchment descriptors for the physical similarity approach. Part II: Application

2013 ◽  
Vol 8 (No. 4) ◽  
pp. 186-194
Author(s):  
M. Heřmanovský ◽  
P. Pech
Keyword(s):  
Land Cover ◽  
A Priori ◽  
Model Parameters ◽  
Physical Similarity ◽  
Model Parameter ◽  
Soil Moisture Accounting ◽  
Estimated Parameters ◽  
Selection Of

This paper demonstrates an application of the previously published method for selection of optimal catchment descriptors, according to which similar catchments can be identified for the purpose of estimation of the Sacramento &ndash; Soil Moisture Accounting (SAC-SMA) model parameters for a set of tested catchments, based on the physical similarity approach. For the purpose of the analysis, the following data from the Model Parameter Estimation Experiment (MOPEX) project were taken: a priori model parameter sets used as reference values for comparison with the newly estimated parameters, and catchment descriptors of four categories (climatic descriptors, soil properties, land cover and catchment morphology). The inverse clustering method, with Andrews&rsquo; curves for a homogeneity check, was used for the catchment grouping process. The optimal catchment descriptors were selected on the basis of two criteria, one comparing different subsets of catchment descriptors of the same size (MIN), the other one evaluating the improvement after addition of another catchment descriptor (MAX). The results suggest that the proposed method and the two criteria used may lead to the selection of a subset of conditionally optimal catchment descriptors from a broader set of them. As expected, the quality of the resulting subset of optimal catchment descriptors is mainly dependent on the number and type of the descriptors in the broader set. In the presented case study, six to seven catchment descriptors (two climatic, two soil and at least two land-cover descriptors) were identified as optimal for regionalisation of the SAC-SMA model parameters for a set of MOPEX catchments.

A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment

2018 ◽  
Vol 11 (2) ◽  
pp. 88-109
Author(s):  
Devki Nandan Jha ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Virtual Machines ◽  
Service Providers ◽  
Cloud Provider ◽  
Technological Advancement ◽  
Cloud Platform ◽  
Analytical Hierarchical Process ◽  
Hybrid Heuristic ◽  
Proposed Model

Cloud computing is a technological advancement that provides services in the form of utility on a pay-per-use basis. As the cloud market is expanding, numerous service providers are joining the cloud platform with their services. This creates an indecision amongst the users to choose an appropriate service provider especially when the cloud provider provisions diverse type of virtual machines. The problem becomes more challenging when the user has different jobs requiring specific quality of service. To address the aforementioned problem, this article applies a hybrid heuristic using College Admission Problem and Analytical Hierarchical Process for stable matching of the users' job with the cloud's virtual machines. The case study depicts the effectiveness of the proposed model.

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