Search results

The purpose of this paper is to improve the complicated pairwise comparison problem and the consistency of analytic hierarchy process (AHP), the consistent fuzzy preference relation (CFPR) method is applied to select the best fashion design scheme in this study.

The first stage is to review the traditional AHP for fashion design scheme evaluation. The second stage is based on the procedure of CFPR to select the best fashion design scheme. The procedure includes: establishment of the fuzzy preference relation matrix of pairwise comparisons, calculation of criteria weight, and calculation of the evaluation value for ratings of fashion design schemes with respect to criteria. The final stage is to compare the procedures and results between AHP and CFPR for the evaluations of fashion design schemes.

For fashion design scheme selection, there are 76 data for fashion design scheme evaluation in AHP, but only 31 in CFPR. Comparing both AHP and CFPR methods, the rankings of the criteria weight are identical and the priority scores of the fashion design scheme are similar. The CFPR is more efficient than AHP, obviously, to solve the inconsistency of hierarchical decision-making problem.

This paper proposes the CFPR method for the selection of the best fashion design scheme. According to the finding of this study, the CFPR is proposed as a practicable option for solving complicated pairwise comparison problems in fashion design decision.

The purpose of this study is to explore the applicability of analytic hierarchy process (AHP) to collective decision-making of local and state disaster managers for their efficient and effective allocation of limited financial resources.

For the implementation of AHP, this study conducted an AHP survey with state and local disaster managers in post-Katrina Louisiana, the USA.

The AHP analysis disclosed a preference gap between local and state managers. It also identified frequent interaction with partners, leadership and communication, as the most critical capabilities to develop for effective emergency management.

This study discussed the value of consistent and careful management of the collaborative relationship. This study is context-specific in disaster type (Hurricane) and locality (Louisiana). Other AHP studies or similar multi-criteria decision-making models should be implemented in different contexts.

Even with clear advantages of collective decision-making in the emergency management field, a model for collective decision-making has been rare. This study explored the applicability of AHP to the collective decision-making for the efficient and effective allocation of limited financial resources.

Presents an AHP (analytical hierarchy process) decision model for facility location selection from the view of organizations which contemplate locations of a new facility or a relocation of existing facilities. The AHP model provides a framework to assist managers in analysing various location factors, evaluating location site alternatives, and making final location selections. The primary principle of the AHP model is to match decision‐makers’ preferences with location site characteristics. The model requires that a number of potential sites have been proposed. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgement in the solution process. Uses an example problem to illustrate the solution process. Addresses managerial implications for future research.

This study aims to determine the optimum model of oil palm empty bunches (OPEB) management, to determine the optimal number of OPEB in waste management, which is then recommended to the company, and to know the achievement of various goals/targets with limited availability of resources.

This research uses quantitative and qualitative approaches. Quantitative approach is done by processing the data for financing and profit analysis in OPEB waste management which is then used for resource approach. A qualitative approach is undertaken for weighing purposes in the analytic hierarchical program (AHP) analysis. The research location was determined purposively in the crude palm oil mill of PT. Pundi Lahan Khatulistiwa in Ambawang, Kubu Raya Regency.

In order that the optimal settlement can achieve the goal/target of minimal environmental pollution, low cost and profit gain, the amount of OPEB that must be managed by the company is 311 tons prioritized for productive plants compost of 66.67 tons, organic fertilizer of 11 tons and mushroom growing media of 233.33 tons. Consequently, the company's cost of IDR 4.000.000.000 still spares IDR 2.004.694.000. The OPEB management as oyster mushroom promises a relatively high profit compared to other OPEB managements even though the cost is not the least.

This research is one of the few studies that examines the waste management model of palm oil empty bunches, mainly located in West Kalimantan, Indonesia. Originality is seen from the use of optimization analysis tools with integration of AHP with goal programming.

Presents a multicriteria approach to the ABC classification problem in inventory control. The proposed method, based on Saaty′s Analytic Hierarchy Process, rates items on both qualitative and quantitative criteria. Demonstrates the model through an example, using real data from the maintenance department stock room of a pharmaceutical company. A series of simulation experiments show how the resulting classification can benefit inventory control in this company.

Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners.

The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process.

The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems.

Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.

This paper identifies the importance of key factors influencing the quality of CBD office buildings. An office building quality index (BQI) is constructed and its relationship with net rent assessed.

The importance of 30 property‐specific CBD office building attributes on the quality of CBD office buildings is assessed using a survey of property industry respondents. The analytical hierarchy process procedure is used to determine weights for each of these attributes to construct an office BQI.

Findings indicate that functionality (31.0 per cent), services (22.6 per cent), access and circulation (16.4 per cent), presentation (13.1 per cent), management (11.5 per cent) and amenities (5.4 per cent) are the order of importance in assessing office building quality. There was found to be a strong functional relationship between office building quality and net rent.

A better understanding of the factors influencing CBD office building quality is determined, with a more effective and practical office BQI developed for benchmarking purposes in property portfolios.

Importance of CBD office building attributes is determined and a new CBD office BQI is developed for practical implementation in the property industry.

The purpose of this paper is to present a decision model for selecting a third party logistics (3PL) provider, because international business can be a complex undertaking. It is a multi‐criteria problem, with alternative ways to weigh the importance of the chosen criteria.

The paper used analytic hierarchy process and hierarchical decision model approaches.

Given the criteria, weights and attribute scores, it was found that two 3PLs ranked very closely in the top position. It was also found that a simple ranking of the criteria can produce very similar aggregate weights, provided the number of experts is high enough. The paper contains an extensive literature review on the usage of AHP and related methods in a logistics context.

This study applies AHP in a 3PL provider for international business, for the first time in the literature.

This research is designed to meet two research objectives: firstly, to weigh up the criteria of Internet of Things (IoT) adoption in warehousing startups; secondly, to rank warehousing startups on the basis of benefits they derive from IoT adoption catering to an unorganized sector in the food supply chain.

A blend of analytic hierarchy process (AHP) and complex proportional assessment (COPRAS) methods of multi-criteria decision-making techniques were applied. AHP determined the weights of various criteria using pairwise comparison, and COPRAS technique ranked the 10 warehousing startups on account of performance indicators. The study has been conducted at the warehousing startups of Bangalore, a hub of food warehousing startups.

The critical findings of the study revealed that these food warehouse startups attain improved productivity in terms of enhancing efficiency when implemented with IoT adoption. When evaluated using both AHP and COPRAS techniques, the combined results show WH5 as the best performing and WH10 as the least performing warehouse startups.

Warehouses that are embarking on their business opportunity in food storage can strategize to leverage the benefits of IoT in terms of food safety and security, capacity planning, layout design, space utilization and resilience.

Despite the numerous research works on food supply chain, the research on IoT in warehousing startups is limited. The rankings for the 10 food warehousing startups integrated with IoT using AHP-COPRAS approaches are the novelty of this work.

The purpose of this paper is to develop a framework for benchmarking the service quality of amusement parks.

A hybrid approach, which is a combination of AHP (analytic hierarchy process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), is applied for service quality benchmarking.

Amusement parks are centers of attraction at various tourist destinations across the world. Their service quality is constituted by the attainment of certain quality attributes that varies with different parks. For sustaining in the industry, the managers of the parks need to have a good overview of the practices followed by them and their competitors that necessitate benchmarking of the service quality.

The developed framework using the hybrid methodology of AHP and TOPSIS can be applied for comparing different amusement parks based on quality attributes, which will help the organizers in improving their service quality.

The paper identifies various service quality attributes of amusement parks and an evaluation scheme for those attributes had been developed. Based on these, a framework had been developed for benchmarking of service quality of different amusement parks.