Collaboration partner selection for city logistics planning under municipal freight regulations

Abstract

a b s t r a c tCollaboration planning among city logistics operators is important to achieve operational efficiency under municipal freight regulations such as access, sizing and timing restrictions etc. In this paper, we present a fuzzy BOCR-GRA approach for collaboration partner selection for city logistics planning under the presence of municipal freight regulations. A multi-step approach is proposed. In the first step, we identify collaboration partner evaluation criteria using BOCR framework. In the second step, linguistic assessment of criteria and alternatives (collaboration partners) is performed by a decision making committee. The linguistic data is treated via fuzzy triangular numbers for analytical processing. In the third step, alternatives are ranked using Gray Relational Analysis technique (GRA) and five BOCR scoring methods. The different alternative ranks are subject to veto and the alternative(s) with highest top ranks are considered for sensitivity analysis whereby we analyze the influence of changes in criteria weights and scoring methods on their ranks. If the rankings remain unchanged, then the veto retained alternative(s) are declared as winner(s) and recommended for collaboration. A numerical application is provided. This is one of the first works to address the collaboration partner selection problem in the context of city logistics under limited or lack of quantitative data. A comprehensive set of criteria are proposed and the best solution is generated using veto role on various scores obtained from BOCR and fuzzy GRA, thereby eliminating any bias arising from method selection.

An Ontology-based Collaboration Recommender System using Patents

“…The process of finding collaboration opportunities often involves a manual process. For example, predefined criteria are analyzed, and scores are calculated and weighted based on these criteria (Geum et al, 2013;Awasthi et al, 2015). Partners in supply chains can be found by using supervised and unsupervised learning, statistics, and analyzing criteria (Wu and Barnes, 2011).…”

Optimal Partner Combination for Joint Distribution Alliance using Integrated Fuzzy EW-AHP and TOPSIS for Online Shopping

“…For the benefit-type criteria, the larger the better, such as resource complementarity; for the cost-type criteria, the smaller the better, such logistics cost. Therefore, the normalization processing on the different kinds of criteria needs to be first performed [18,61].…”

“…In this paper, the index system, including economy, society and environmental factors, is considered [18,46], based on the characteristics of online shopping logistics, e.g., personalized demand of the last mile delivery for end customers [6,17,47], flexibility criteria is also considered. Therefore, the evaluation index system for the partner combination selection of JDA is built using the economy-society-environment-flexibility framework (ESEF) from a sustainability perspective.…”

“…Any logistics enterprise stands to lose if trying to "go it alone" in the e-commerce environment [12]. Therefore, logistics enterprises must collaborate with each other to realize the integration of resources, information sharing and business collaboration [12,18]. General logistics service providers strongly believe in the potential benefits of cooperation to increase their profitability or to improve the quality of their services [19].…”

An intuitionistic fuzzy OWA-TOPSIS method for collaborative network formation considering matching characteristics

“…Rezaeia [11] proposed a two-way partner selection approach to optimally match all the buyers and suppliers. Awasthi et al [12]presented a fuzzy BOCR-GRA approach for collaboration partner selection for city logistics planning under the presence of municipal freight regulations.Mat and Cheung [13] identified the important top 5 criteria of partner selection in CN by an on-line survey which targeted organizations from Malaysia, Australia and other countries (such as India, Singapore and Philippines): Previous track record in business, Integrity (performed task with honesty), Commitment (dedicated in performing tasks), Trusted to act in the best interest of the partnership and Contributed complementary resources. 4 In addition, different advanced multiple attribute decision making (MADM) approaches have been developed to solve this problem.…”