Integrating the concept of sustainability into the partner selection process: a fuzzy-AHP-TOPSIS approach

Purpose Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

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Proactive Legal Involvement in Partner Selection Process

SSRN Electronic Journal ◽

10.2139/ssrn.2488195 ◽

2014 ◽

Author(s):

Danielle Twardy Duisters ◽

Peter Kamminga ◽

Geert Duysters

Keyword(s):

Selection Process ◽

Partner Selection

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A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Applied Sciences ◽

10.3390/app11115107 ◽

2021 ◽

Vol 11 (11) ◽

pp. 5107

Author(s):

Miguel Ortíz-Barrios ◽

Antonella Petrillo ◽

Fabio De Felice ◽

Natalia Jaramillo-Rueda ◽

Genett Jiménez-Delgado ◽

...

Keyword(s):

Job Shop ◽

Selection Process ◽

Fuzzy Ahp ◽

Flexible Job Shop ◽

Criteria Weights ◽

Dispatching Algorithm ◽

Scheduling Method ◽

Hard Problems ◽

Fourth Step

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

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Does Audit Committee Disclosure of Partner-Selection Involvement Signal Greater Audit Quality?

Accounting Horizons ◽

10.2308/horizons-2020-080 ◽

2021 ◽

Author(s):

Jimmy F. Downes ◽

Michelle A. Draeger ◽

Abbie E. Sadler

Keyword(s):

Audit Committee ◽

Audit Quality ◽

Selection Process ◽

Partner Selection ◽

Analyst Forecasts ◽

Securities And Exchange Commission ◽

Audit Committees ◽

Voluntary Disclosures ◽

Level Of Involvement ◽

Selection Of

We investigate whether audit committees use voluntary disclosures to signal the committees’ higher level of involvement in the audit partner-selection process, which contributes to higher levels of audit quality. Audit committees more involved in the partner-selection process should ensure the selection of a more rigorous partner. We test this conjecture by first identifying partners new to audit engagements. We then compare audit quality for companies whose audit committees disclose involvement in the selection of the new partner to those without this disclosure. We find that this disclosure is positively associated with audit quality (measured using discretionary accruals, misstatements, and meeting consensus analyst forecasts by a very small margin). Our results are more salient for complex companies and those with powerful audit committees. These findings highlight that audit committees use their disclosures to signal involvement in the partner-selection process and are relevant to the Securities and Exchange Commission.

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Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

Sustainability ◽

10.3390/su132212743 ◽

2021 ◽

Vol 13 (22) ◽

pp. 12743

Author(s):

Muhammad Hamza Naseem ◽

Jiaqi Yang ◽

Ziquan Xiang

Keyword(s):

Supply Chain ◽

Literature Review ◽

Reverse Logistics ◽

Fuzzy Ahp ◽

Pairwise Comparison ◽

Fuzzy Topsis ◽

Extensive Literature ◽

Forward Logistics ◽

Reverse Logistics Management ◽

Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

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Multi-Criteria Selection of Wind Turbine Using TOPSIS Approach

Volume 12: Wind Energy ◽

10.1115/gt2020-15177 ◽

2020 ◽

Author(s):

Shafiqur Rehman ◽

Salman A. Khan ◽

Luai M. Alhems

Keyword(s):

Wind Turbine ◽

Wind Farm ◽

Selection Process ◽

Geographical Location ◽

Real Data ◽

Maximum Energy ◽

Decision Criteria ◽

Topsis Approach ◽

Selection Of

Abstract The recent revolution in the use of renewable energy worldwide has opened many dimensions of research and development for sustainable energy. In this context, the use of wind energy has received notable attention. One critical decision in the development of a wind farm is the selection of the most appropriate turbine compatible with the characteristics of the geographical location under consideration in order to harness maximum energy. This selection process considers multiple decision criteria which are often in conflict with each other, as improving one criterion negatively affects one or more other criteria. Therefore, it is desired to find a tradeoff solution where all selection criteria are simultaneously optimized to the best possible level. This paper proposes a TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) based approach for multi-criteria selection of wind turbine. Three decision criteria, namely, hub height, wind speed, and net capacity factor are used in the decision process. A case study is shown on real data collected from the Aljouf region located at an altitude of 753 meters above sea level in the northern part of Saudi Arabia. Seventeen turbines with rated capacities ranging from 1.5 GW to 3 GW from various manufacturers are evaluated. Results indicate that Vestas V110 turned out to be the most appropriate turbine for the underlying site.

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Enhancing the partner selection process in a Sustainable Partner Network

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2019.11.570 ◽

2019 ◽

Vol 52 (13) ◽

pp. 2425-2430

Author(s):

Eduard Shevtshenko ◽

Kashif Mahmood ◽

Tatjana Karaulova

Keyword(s):

Selection Process ◽

Partner Selection

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An Effective Approach to Input Variable Selection for Preliminary Cost Estimation of Construction Projects

Advances in Civil Engineering ◽

10.1155/2019/4092549 ◽

2019 ◽

Vol 2019 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Meseret Getnet Meharie ◽

Zachary C. Abiero Gariy ◽

Raphael Ngumbau Ndisya Mutuku ◽

Wubshet Jekale Mengesha

Keyword(s):

Factor Analysis ◽

Variable Selection ◽

Cost Estimation ◽

Construction Projects ◽

Early Stage ◽

Selection Process ◽

Fuzzy Ahp ◽

Geometric Mean ◽

Limited Information ◽

Input Variables

Accurate cost estimates are vital to the effective realisation of construction projects. Extended knowledge, wide-ranging information, substantial expertise, and continuous improvement are required to attain accurate cost estimation. Cost estimation at the preliminary phase of the project is always a challenge as only limited information is available. Hence, rational selection of input variables for preliminary cost estimation could be imperative. A systematic input variable selection approach for preliminary estimating using an integrated methodology of factor analysis and fuzzy AHP is presented in this paper. First, the factor analysis is used to classify and reduce the input variables and their variable coefficients are determined. Second, fuzzy AHP based on the geometric mean method is employed to determine the weights of input variables in a fuzzy environment where the subjectivity and vagueness are handled with natural language expressions parameterized by triangular fuzzy numbers. Then, the input variables are suggested to be selected starting with those having high coefficient and high importance weight. A set of three variables, one from each group, can be added to the estimating model at a time so that the problem of collinearity can vanish and good accuracy of the estimate can be ensured. The proposed approach enables cost estimators to better understand the complete input variable selection process at the early stage of project development and provide a more accurate, rational, and systematic decision support tool.

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An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽

10.1108/k-04-2019-0223 ◽

2019 ◽

Vol 49 (9) ◽

pp. 2263-2284 ◽

Cited By ~ 1

Author(s):

Chunxia Yu ◽

Zhiqin Zou ◽

Yifan Shao ◽

Fengli Zhang

Keyword(s):

Supplier Selection ◽

Selection Process ◽

Fuzzy Ahp ◽

Evaluation Criteria ◽

Risk Attitude ◽

Integrated Approach ◽

Fuzzy Topsis ◽

Ann Model ◽

Content Type ◽

Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

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