scholarly journals Offshore vs. domestic sourcing in a retail environment : a hybrid decision model utilizing a total cost of ownership and analytic hierarchy process methodology

2021 ◽  
Author(s):  
Iyyad Jariri
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Low Cost ◽  
Retail Environment ◽  
Total Cost Of Ownership ◽  
Analytic Hierarchy ◽  
Total Cost ◽  
Cost Of Ownership ◽  
Sourcing Strategy ◽  
Hierarchy Process

In today's fast paced society, consumers expect their demand to be satisfied instantaneously; otherwise, they will go to the competition. Selecting a strategic supplier is an imperative undertaking, especially in a retail environment, to the company's success and profitability. Retailers have been steadily increasing their offshore penetration due to the low cost of goods. Global sourcing has become an important part of a retailer's strategy to achieve a competitive advantage. However, even though low cost is an important element of improving sales margins and profitability, additional criteria must be taken into consideration when determining the optimal sourcing strategy. This project addresses the issue of strategic supplier selection in a retail environment focusing on offshore versus domestic sourcing decisions. This is accomplished by developing a hybrid decision model which utilizes a total cost of ownership (TCO) model incorporated into an analytic hierarchy process (AHP) framework. This model is comprehensive and straightforward to apply in comparison to similar models within the literature. The model is applied to ABC Company, a major Canadian retailer. The analysis carried out in this project indicates that, for ABC Company, a domestic supplier is favorable.

scholarly journals Offshore vs. domestic sourcing in a retail environment : a hybrid decision model utilizing a total cost of ownership and analytic hierarchy process methodology

2021 ◽  
Author(s):  
Iyyad Jariri
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Low Cost ◽  
Retail Environment ◽  
Total Cost Of Ownership ◽  
Analytic Hierarchy ◽  
Total Cost ◽  
Cost Of Ownership ◽  
Sourcing Strategy ◽  
Hierarchy Process

In today's fast paced society, consumers expect their demand to be satisfied instantaneously; otherwise, they will go to the competition. Selecting a strategic supplier is an imperative undertaking, especially in a retail environment, to the company's success and profitability. Retailers have been steadily increasing their offshore penetration due to the low cost of goods. Global sourcing has become an important part of a retailer's strategy to achieve a competitive advantage. However, even though low cost is an important element of improving sales margins and profitability, additional criteria must be taken into consideration when determining the optimal sourcing strategy. This project addresses the issue of strategic supplier selection in a retail environment focusing on offshore versus domestic sourcing decisions. This is accomplished by developing a hybrid decision model which utilizes a total cost of ownership (TCO) model incorporated into an analytic hierarchy process (AHP) framework. This model is comprehensive and straightforward to apply in comparison to similar models within the literature. The model is applied to ABC Company, a major Canadian retailer. The analysis carried out in this project indicates that, for ABC Company, a domestic supplier is favorable.

scholarly journals Application of analytic hierarchy process to evaluate design criteria for humane trap cage.

2020 ◽  
Vol 4 (2) ◽  
pp. 30-35
Author(s):  
Sivajothi Paramasivam ◽  
Hari Krishnan Munisamy ◽  
Santhansamy Rayappan
Keyword(s):  
Analytic Hierarchy Process ◽  
Low Cost ◽  
Quality Criteria ◽  
Design Criteria ◽  
Animal Population ◽  
Chronic Infections ◽  
Analytic Hierarchy ◽  
The Public ◽  
Hierarchy Process ◽  
Selection Of

Atrocities against stray animal’s especially large number of scavenging street dogs have increased at an alarming rate nationwide. Relevant authorities, in view of controlling stray animal population and curb chronic infections mulled cracking down on stray dogs using inhumane methods such as usage of tranquilizers or forcefully capturing. Thus, causing injuries, trauma and potentially death to these captured strays. Even though statistics about the number of violent incidents against strays remains unknown but animal welfare groups report constant complaints regarding animal cruelty. Animal activists mooted a request to design and built a modernize efficient yet low cost trap cage with a provision of technology which are normally ignored by many quarters; as a vehicle to educate the public on humane and compassionate ways to treat stray animals.   The design of the cage involves consists of 3 parts, which was electronics hardware, communication system and critically the structure hardware whereby to withstand the possible aggressiveness of the animal. The objective of this paper is to present and apply the techniques of the analytic hierarchy process (AHP) in the prioritization and selection of design criteria of the trap cage. The finding shows that out of 5 design criteria, quality criteria is the most important criteria in designing of a humane trap cage issue. This is followed by innovativeness, cost, safety and aesthetics factors.

A Decision Model for Cognitive Task Allocation

1993 ◽  
Vol 37 (4) ◽  
pp. 392-396
Author(s):  
Sotiris A. Papantonopoulos ◽  
Gavriel Salvendy
Keyword(s):  
Analytic Hierarchy Process ◽  
Task Allocation ◽  
Task Analysis ◽  
Decision Model ◽  
Cognitive Task ◽  
Analytic Hierarchy ◽  
Performance Requirements ◽  
Resource Matching ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Cognitive task allocation employs task analysis to identify the performance and operational requirements of task functions; and demand/resource matching to match the identified requirements and the human and computer resources available for implementation. The current methodologies of cognitive task allocation are either too aggregate to provide adequate resolution of performance requirements or domain-specific and thus of limited applicability. The paper introduces a formal, quantitative, and domain-independent model of cognitive task allocation aimed at reducing the limitations inherent in the currently practiced methodologies. Demand/resource matching is modeled as an Analytic Hierarchy Process. The Analytic Hierarchy Process of Demand/Resource Matching is defined as a mapping process along a four-level Analytic Hierarchy. By means of the Analytic Hierarchy Process, a task function (Level 1 of the Analytic Hierarchy) is analyzed into its cognitive processes (Level 2); performance criteria are set for each cognitive process (Level 3) by means of which the capacities of the human, computer, or interactive human/computer controller (Level 4) are evaluated and compared. The Analytic Hierarchy Process then integrates judgements of human and computer abilities and limitations into a weighted average indicating the relative capacity of human and computer to perform this function. This assessment of relative merit of performance can hence be integrated with work design, economic, and other contextual factors towards the final allocation design. The Analytic Hierarchy Process was applied and evaluated in the design of task allocation in production planing and control of a flexible manufacturing system by comparing the allocation designs of two groups of subjects. One group was supported by the decision model, the other received no decision support. The observed differences between the two groups indicated that the decision model can effectively support detailed task analysis and an adequate resolution of performance requirements; the identification of the design, trade-offs between human allocation and automation; and provide the computational resources to reduce decision bias.

Diminishing Utility Decision Model for Weighting Criteria

2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Marginal Utility ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Absorbing State ◽  
Network Process ◽  
Diminishing Marginal Utility ◽  
Hierarchy Process

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.

scholarly journals An analytic hierarchy process model for selecting adsorbent for heavy metal ion removal from wastewater

Water SA ◽  
2020 ◽  
Vol 46 (3 July) ◽  
Author(s):  
Shereen Ababneh ◽  
Omar Al-Araidah ◽  
Mohammed Almomani
Keyword(s):  
Analytic Hierarchy Process ◽  
Metal Ion ◽  
Process Model ◽  
Low Cost ◽  
Analytic Hierarchy ◽  
Metal Ion Removal ◽  
Ion Removal ◽  
Heavy Metal Ion Removal ◽  
Ph Level ◽  
Hierarchy Process

This paper provides an analytic hierarchy process (AHP) model for the selection of an adsorbent to adhere with multiple types of metal ions from wastewater. Experimental literature is surveyed to estimate the entries for comparison matrices. The model allows the user to combine the degree of importance of the adsorption of each ion type to the degree of importance of both technical and non-technical criteria. A case study is provided to select among three adsorbents and three types of ions. Results illustrate the usability of the model in handling experimental problems; chitosan is selected for its high technical qualities, that sludge is preferred for its availability and low cost, and that pH-level and adsorbent-dosage are the most influential sub-criteria to control to enhance adsorption efficiency. Moreover, sensitivity analysis shows that the decision is impacted by the relative importance of technical criteria and by the degree of importance of ions.

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