An integrated model for green partner selection and supply chain construction

Stricter governmental regulations and rising public awareness of environmental issues are pressurising firms to make their supply chains greener. Partner selection is a critical activity in constructing a green supply chain because the environmental performance of the whole supply chain is significantly affected by all its constituents. The paper presents a model for green partner selection and supply chain construction by combining analytic network process (ANP) and multi-objective programming (MOP) methodologies. The model offers a new way of solving the green partner selection and supply chain construction problem both effectively and efficiently as it enables decision-makers to simultaneously minimize the negative environmental impact of the supply chain whilst maximizing its business performance. The paper also develops an additional decision-making tool in the form of the environmental difference, the business difference and the eco-efficiency ratio which quantify the trade-offs between environmental and business performance. The applicability and practicability of the model is demonstrated in an illustration of its use in the Chinese electrical appliance and equipment manufacturing industry

The state of the art development of AHP (1979-2017): a literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

AHP-GP Approach by Considering the Leopold Matrix for Sustainable Water Reuse Allocation: Najafabad Case Study, Iran

Water reuse allocation is one of the major challenges in water resource management which requires the assessment of water reuse alternatives, especially in regions with limitation in water resources, arid climates, population growth and increasing water demand. Considering the complexity of the problem, water reuse allocation by using conventional methods for maximizing benefits, minimizing cost and environmental risks, cannot guarantee optimal allocation. In this paper, Analytic Hierarchy Process (AHP) which can be combined with Goal Programming (GP) by considering the Leopold matrix for carrying-out the Environmental Impact Assessment (EIA) is used for sustainable water reuse allocation for multiple stakeholders in Najafabad as a case study. The results show that the developed mathematical model with combination of quantitative evaluation and optimization can be considered as an effective and flexible tool for creating better guidelines to adapt the requirements of various stakeholders for better allocation of recycled water. Finally, based on sensitivity analysis in AHP, a What-If analysis in GP is performed to the robustness of the final results of water reuse allocation

A FRAMEWORK FOR STRATEGIC PROJECT ANALYSIS AND PRIORITIZATION

Projects that support the long-term strategic intent and alignment are considered strategic projects. Therefore, these projects must consider their alignment with the organization’s current strategy and focus on the risk, organizational capability, resources availability, political influence, and socio-cultural factors. Quantitative and qualitative methods prioritize the projects; however, they are usually suitable for specific industries. Although prioritization models are used in the private sector, the same in the public sector is not widely seen in the literature. The lack of models in the public sector has happened because of the projects’ social implications, the value perception of different projects in the public sector, and potentially differing value perceptions attached to the types of projects in different decision-making environments in the public sector. The thesis proposes a generic framework to develop a priority list of the available basket of projects and decide on projects for the next undertaking. The focus of the thesis is on public projects. The analysis in the framework considers the critical factors for prioritization obtained from the literature clustered through the agglomerative text clustering technique. In the proposed framework, 13 critical clusters are identified and weighted using the Criteria Importance Through Intercriteria Correlation (CRITIC) method to develop their ranking using the Technique for Order of Preference Similarity Ideal Solution (TOPSIS) method. In addition, the proposed framework uses vector weighting to prioritize projects across industries. The applicability of the framework is demonstrated through Qatar’s real estate and transportation projects. The outcome obtained from the framework is compared with those obtained through the experts using the System Usability Scale (SUS). The comparison shows that the framework provides good predictability of the projects for implementation

A MODEL FOR RANKING RAILWAY INFRASTRUCTURE PROJECTS

Realizacija prometnih projekata složen je investicijski poduhvat, koji je poseban izazov i za menadžere i za inženjere. Prometni projekti, kao projekti u javnom sektoru, uključuju veći broj interesnih skupina, čije želje treba uzeti u razmatranje prilikom njihove evaluacije. Zbog raznovrsnih kriterija i postavljenih ciljeva interesnih skupina predlaže se primjena višekriterijskih pristupa za selekciju i rangiranje prometnih projekata. U ovom su radu pored definiranih relevantnih interesnih skupina predloženi i određeni kriteriji za rangiranje željezničkih infrastrukturnih projekata. Poseban je doprinos rada analiza utjecaja relevantnih vanjskih projekata na rangiranje. Kao višekriterijski pristup pogodan za analizu problema s mrežnom strukturom primijenjen je analitički mrežni proces. Model sadrži četiri klastera: alternative, kriterije, interesne skupine i relevantne eksterne projekte. Klasteri, kao i njihovi elementi, su u korelaciji, što strukturu modela čini mrežom. Model je primijenjen na primjeru željezničkih pruga Republike Srbije.Realizing transport projects is a complex investment endeavour, which is a special challenge for both managers and engineers. Transport projects, as projects within the public sector, include a larger number of interest groups, whose wishes should be considered during their evaluation. Due to multiple criteria and set goals of interest groups, an application of multi-criteria approaches for the selection and ranking of transport projects is proposed. This paper, together with defined relevant interest groups, also proposes certain criteria for ranking railway infrastructure projects. A special contribution of this paper is the analysis of influences, which relevant external projects make on ranking. As a multiple-criteria approach, suitable for analysis of problems with network structure, an analytical network process was applied. The model contains four clusters: alternatives, criteria, interest groups and relevant external projects. Clusters, as well as their elements, are correlated, which makes the structure of the model into a network. The model has been applied on the example of the railway lines in the Republic of Serbia