Design of Fazl-Tash novel method for sustainable resilient comprehensive supplier selection problem

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamed Fazlollahtabar ◽  
Navid Kazemitash
Keyword(s):  
Supplier Selection ◽  
Huge Number ◽  
Simple Method ◽  
Content Type ◽  
Novel Method ◽  
Rank And Select ◽  
The Cost ◽  
Supplier Selection Problem ◽  
Industrial Company

Purpose However, due to the huge number of studies and on the other hand to be new and creative, the represented models and methods – as the two main parts of this field – have been got more complicated, which consequently have been turned into unpractical research studies for the realistic situations. Therefore, the purpose of this study is the representation of a novel and simple method to deal with the aforementioned gap. Design/methodology/approach To this end, Fazl-Tash method have been proposed, in which a thorough and complete model including 114 criteria and a simple technique to rank and select the best supplier have been presented. Sustainability and resiliency are considered in collecting criteria effective on supplier selection. Findings The method was carried out in a case study in an industrial company. The efficiency of the proposed method is evaluated in comparison with other conventional approaches. Originality/value As selecting the supplier plays a crucial role to bring some important advantages for companies, such as coping with the cost and time problems and influencing the majority of contemporary markets’ requirements, in recent years, there have been representing more effective studies in the supplier selection literature.

A multi-objective supplier selection model for green supply chain network under uncertainty

2018 ◽  
Vol 13 (3) ◽  
pp. 605-625 ◽  
Author(s):  
Mohammad Khalilzadeh ◽  
Hadis Derikvand
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Objective Function Value ◽  
Selection Problem ◽  
Green Supply Chain ◽  
Content Type ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model ◽  
Supplier Selection Problem

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

AHP Approach for Supplier Selection in a Polyamide Fiber Plant in Supply Chain Management

2011 ◽  
Vol 299-300 ◽  
pp. 1252-1255
Author(s):  
Hui Jin ◽  
Chun Ling Liu ◽  
Xing Yu Wang
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Supplier Evaluation ◽  
Proposed Model ◽  
Polyamide Fiber ◽  
Fiber Plant ◽  
And Performance ◽  
Supplier Selection Problem

Supplier evaluation and selection is one of the most important components of supply chain, which influence the long term commitments and performance of the plant. Supplier selection is a complex multi-criteria problem which includes both qualitative and quantitative factors. In order to select the best suppliers it is essential to make a trade off between these tangible and intangible factors some of which may conflict. In this paper, an AHP-based supplier selection model is formulated and then applied to a real case study for a polyamide fiber plant in China. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination.

Real-time velocity scaling and obstacle avoidance for industrial robots using fuzzy dynamic movement primitives and virtual impedances

2018 ◽  
Vol 45 (1) ◽  
pp. 110-126 ◽  
Author(s):  
Iman Kardan ◽  
Alireza Akbarzadeh ◽  
Ali Mousavi Mohammadi
Keyword(s):  
Real Time ◽  
Obstacle Avoidance ◽  
Time Constant ◽  
Fuzzy System ◽  
Industrial Robots ◽  
Simple Method ◽  
Content Type ◽  
Dynamic Movement ◽  
Steering Mechanism ◽  
Novel Method

Purpose This paper aims to increase the safety of the robots’ operation by developing a novel method for real-time implementation of velocity scaling and obstacle avoidance as the two widely accepted safety increasing concepts. Design/methodology/approach A fuzzy version of dynamic movement primitive (DMP) framework is proposed as a real-time trajectory generator with imbedded velocity scaling capability. Time constant of the DMP system is determined by a fuzzy system which makes decisions based on the distance from obstacle to the robot’s workspace and its velocity projection toward the workspace. Moreover, a combination of the DMP framework with a human-like steering mechanism and a novel configuration of virtual impedances is proposed for real-time obstacle avoidance. Findings The results confirm the effectiveness of the proposed method in real-time implementation of the velocity scaling and obstacle avoidance concepts in different cases of single and multiple stationary obstacles as well as moving obstacles. Practical implications As the provided experiments indicate, the proposed method can effectively increase the real-time safety of the robots’ operations. This is achieved by developing a simple method with low computational loads. Originality/value This paper proposes a novel method for real-time implementation of velocity scaling and obstacle avoidance concepts. This method eliminates the need for modification of original DMP formulation. The velocity scaling concept is implemented by using a fuzzy system to adjust the DMP’s time constant. Furthermore, the novel impedance configuration makes it possible to obtain a non-oscillatory convergence to the desired path, in all degrees of freedom.

Improving logistics supplier selection process using lean six sigma – an action research case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huay Ling Tay ◽  
Hui Sen Aw
Keyword(s):  
Health Care ◽  
Six Sigma ◽  
Supplier Selection ◽  
Selection Process ◽  
Lean Six Sigma ◽  
Content Type ◽  
Logistics Services ◽  
Health Care Company ◽  
Care Company

Purpose Outsourcing logistical activities have become a widely used approach for firms to avoid high fixed costs and heavy investment requirements and to achieve competitive advantages. Lean six sigma (LSS) has been accepted globally across sectors as a management strategy for achieving process excellence. The purpose of this paper is to feature the application of LSS for improving the supplier selection process (SSP) of outsourced logistics services in a multinational health-care company. Design/methodology/approach This study is based on an action research case study conducted on the SSP of the freight and distribution department in a multinational health-care company. This paper reports on the application of the LSS define-measure-analyze-improve-control (DMAIC) approach for reducing supplier selection lead time. Findings The study features a real-world case study of the LSS DMAIC application to improve the supplier selection process of a large health-care company. The key issues that were identified are lack of information visibility, top-down changes and unclear communication lines. To counteract these three root causes, the lean six sigma techniques that are implemented are the 5S, stakeholder analysis and standard operating procedure. Research limitations/implications This research provided empirical evidence of how practical challenges in SSP can be managed with the use of LSS. It further proposed plausible solutions for reducing and sustaining improved outcomes. As the study is limited to one case, the validity of the results can be improved by including more organisations and more case studies from other similar organisations. Originality/value Research in supplier selection processes rarely links continuous improvement ideology such as LSS to support strategic selection and procurement of logistics services. This paper could serve as a resource for both practitioners to derive useful implications and to academicians as it contributes to the LSS body of knowledge for further theory testing.

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Estimation of procurement costs incurred by public customers: a case study of a Russian region

2018 ◽  
Vol 18 (1) ◽  
pp. 68-87
Author(s):  
Andrei Yakovlev ◽  
Olga Balaeva ◽  
Andrey Tkachenko
Keyword(s):  
Public Procurement ◽  
Methodological Approach ◽  
Policy Implications ◽  
Cost Evaluation ◽  
Content Type ◽  
Russian Region ◽  
Procurement Cost ◽  
Procurement System ◽  
The Cost

Purpose This paper aims to measure the cost of procurement because public procurement procedures prescribed by legislation not only enhance transparency and competition but also entail certain transaction costs for both customers and suppliers. Design/methodology/approach These costs are important to the efficiency of the procurement system. However, very few previous studies have focused on estimating procurement costs. This paper proposes a methodology for public procurement cost evaluation. Findings This paper shows how procurement costs can be calculated using a formalized survey of public customers. This methodology was tested with a representative group of public customers operating in one region of the Russian Federation. Originality/value The authors formulate the policy implications of this paper, as they relate to the improvement of public procurement regulations and argue that this methodological approach can be applied in other developing and transitioning economies.

scholarly journals A centralised cost management system: exploiting EVM and ABC within IPD

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faris Elghaish ◽  
Sepehr Abrishami
Keyword(s):  
Management System ◽  
Risk Sharing ◽  
Management Practices ◽  
Cost Management ◽  
Web Based ◽  
Content Type ◽  
Team Members ◽  
Cost Management System ◽  
The Cost

PurposeIntegrated project delivery (IPD) is highly recommended to be utilised with building information management (BIM), specifically with BIM level-3 implementation process. Extant literature highlights the financial management challenges facing the proposed integration. These challenges are mainly related to the IPD compensation and the conventional cost control approaches that are not consistent with IPD principles. As such, this paper presents an integration of several methods to support automating risk/reward sharing amongst project parties thus enhancing IPD core team members’ relationship.Design/methodology/approachThe literature review was used to highlight the challenges that face the IPD-based cost management practices such as the risk sharing/reward sharing amongst IPD core team members and potential methods to bridge the revealed IPD gap. A framework was developed by integrating the activity-based costing (ABC) – as a method to analyse the cost structure – and earned value management (EVM) to develop mathematical models that can determine the three main IPD financial transactions (i.e. …) fairly. To demonstrate the applicability of the developed system, a real-life case study was used, in which, promising results were collected in regard to visualising the cost control data and understanding of the accumulative status of the project cost and schedule for team members.FindingsA centralised cost management system (CCMS) for IPD is developed to enable the IPD cost structure as well as automating the risk-sharing/reward-sharing calculations. This system is linked with a web-based management system to display the output of proposed risk-sharing/reward-sharing models. Moreover, a novel grid is developed to show the project status graphically and to respect the diversity in core team members backgrounds. In addition, the case study showed that the proposed integration of different methods (ABC, EVM, BIM and web-based management system) is interoperable and applicable.Originality/valueThis research presents a comprehensive solution to the most revealed challenges in cost management practices in IPD implementation. The outcome of this research contributes to the body of knowledge through presenting new extensions of the EVM to be used with the IPD approach to calculate risk/reward. Moreover, the implementation of the proposed tools such as centralised cost management system (CCMS) and CCMS for IPD web system will enhance/foster the implementation of the IPD in conjunction with BIM process.

Cognitive biases in MCDM methods: an embedded filter proposal through sustainable supplier selection problem

2020 ◽  
Vol 33 (5) ◽  
pp. 947-963
Author(s):  
Nurcan Deniz
Keyword(s):  
Loss Aversion ◽  
Supplier Selection ◽  
Cognitive Biases ◽  
Status Quo ◽  
The Other ◽  
Selection Problem ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Comparison Of The Results ◽  
Supplier Selection Problem

PurposeExpert evaluation is the backbone of the multi-criteria decision-making (MCDM) techniques. The experts make pairwise comparisons between criteria or alternatives in this evaluation. The mainstream research focus on the ambiguity in this process and use fuzzy logic. On the other hand, cognitive biases are the other but scarcely studied challenges to make accurate decisions. The purpose of this paper is to propose pilot filters – as a debiasing strategy – embedded in the MCDM techniques to reduce the effects of framing effect, loss aversion and status quo-type cognitive biases. The applicability of the proposed methodology is shown with analytic hierarchy process-based Technique for Order-Preference by Similarity to Ideal Solution method through a sustainable supplier selection problem.Design/methodology/approachThe first filter's aim is to reduce framing bias with restructuring the questions. To manipulate the weights of criteria according to the degree of expected status quo and loss aversion biases is the second filter's aim. The second filter is implemented to a sustainable supplier selection problem.FindingsThe comparison of the results of biased and debiased ranking indicates that the best and worst suppliers did not change, but the ranking of suppliers changed. As a result, it is shown that, to obtain more accurate results, employing debiasing strategies is beneficial.Originality/valueTo the best of the author's knowledge, this approach is a novel way to cope with the cognitive biases. Applying this methodology easily to other MCDM techniques will help the decision makers to take more accurate decisions.

Human resources ranking in a cloud-based knowledge sharing framework using the quality control criteria

Kybernetes ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 876-892 ◽  
Author(s):  
Parisa Fouladi ◽  
Nima Jafari Navimipour
Keyword(s):  
Quality Control ◽  
Human Resources ◽  
Hierarchical Structure ◽  
Simple Method ◽  
Content Type ◽  
Quality Control Criteria ◽  
Control Criteria ◽  
Selection Of

Purpose This paper aims to propose a new method for evaluating the quality and prioritizing of the human resources (HRs) based on trust, reputation, agility, expertise and cost criteria in the expert cloud. To evaluate some quality control (QC) factors, a model based on the SERVQUAL is used. Design/methodology/approach The aim of this paper is to offer a fast and simple method for selecting the HRs by the customers. To achieve this goal, the ranking diagram of different HRs based on the different criteria of QC is provided. By means of this method, the customer can rapidly decide on the selection of the required HRs. By using the proposed method, the scores for various criteria are evaluated. These criteria are used in the ranking of each HR which is obtained based on the evaluation conducted by previous customers and their colleagues. First, customers were asked to select their needed criteria and then by constructing a hierarchical structure, the ranking diagram of different HRs is achieved. Using a ranking system based on evaluating the quality of the model, satisfy the customer needs to be based on the properties of HRs. Also, an analytical hierarchical process-based ranking mechanism is proposed to solve the problem of assigning weights to features for considering the interdependence between them to rank the HRs in the expert cloud. Findings The obtained results showed the applicability of the radar graph using a case study and also numerically obtained results showed that a hierarchical structure increases the quality and speed rating of HR ranking than the previous works. Originality/value The suggested ranking method in this paper allows the optimal selection due to the special needs of any given customer in the expert cloud.

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