Vol. 9 Issue 1 pp. 000‐000 There is a growing need for integrating environmentally sound choices into supply-chain management research and practice. Perusal of the literature shows that a broad frame of reference for green supply-chain management (GrSCM) is not adequately developed. Regulatory bodies that formulate regulations to meet societal and ecological concerns to facilitate growth of business and economy also suffer from its absence. A succinct classification to help academicians, researchers and practitioners in understanding integrated GrSCM from a wider perspective is needed. Further, sufficient literature is available to warrant such classification. This paper takes an integrated and fresh look into the area of GrSCM. The literature on GrSCM is covered exhaustively from its conceptualization, primarily taking a ‘reverse logistics angle’. Using the rich body of available literature, including earlier reviews that had relatively limited perspectives, the literature on GrSCM is classified on the basis of the problem context in supply chain’s major influential areas. It is also classified on the basis of methodology and approach adopted. Various mathematical tools/techniques used in literature vis-a-vis the contexts of GrSCM are mapped. A timeline indicating relevant papers is also provided as a ready reference. Finally, the findings and interpretations are summarized, and the main research issues and opportunities are highlighted.

Green supply‐chain management: A state‐of‐the‐art literature review

A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

/pdf/metaheuristics-from-design-to-implementation-1vqdfv8nk9.pdf

Metaheuristics: From Design to Implementation

Evaluating Model Fit

Facility location and supply chain management - A review

Sustainable supply chains: An introduction

The design of reverse distribution networks: Models and solution procedures

The success of Wikipedia demonstrates that self-organizing production communities can produce high-quality information-based products. Research on Wikipedia has proceeded largely atheoretically, focusing on (1) the diversity in members' knowledge bases as a determinant of Wikipedia's content quality, (2) the task-related conflicts that occur during the collaborative authoring process, and (3) the different roles members play in Wikipedia. We develop a theoretical model that explains how these three factors interact to determine the quality of Wikipedia articles. The results from the empirical study of 96 Wikipedia articles suggest that (1) diversity should be encouraged, as the creative abrasion that is generated when cognitively diverse members engage in task-related conflict leads to higher-quality articles, (2) task conflict should be managed, as conflict-notwithstanding its contribution to creative abrasion-can negatively affect group output, and (3) groups should maintain a balance of both administrative-and content-oriented members, as both contribute to the collaborative process.

http://iiseb.knu.ac.kr/Lecture/2012/KSS/p13.pdf

Information Quality in Wikipedia: The Effects of Group Composition and Task Conflict

Disaster response and recovery are crucial phases of disaster management. Decision-support systems used in disaster management must cope with the complexity and uncertainty involved with the scheduling and assignment of differentially-skilled personnel and assets to specific tasks. Operational constraints—such as workload and labor requirements, precedence constraints, resource availability, and critical deadlines among others—make timely and appropriate task assignment and sequencing difficult. Failure to assign personnel in an efficient and effective manner may result in unnecessary fatalities and significant additional loss of property as well as damaging the reputation of the disaster management organizations. Therefore, this paper proposes a decision-support system for disaster response and recovery using hybrid meta-heuristics.

/pdf/decision-support-for-disaster-management-1v2b1mu08j.pdf

Decision support for disaster management

Our research question concerns the usefulness of wikis in corporate settings. The answer to this question is not clear. On one hand, business firms are aware of the impact wikis have had on the Internet, and perceive wikis as an up-and-coming technology for supporting collaborative work. On the other hand, the fundamental principles underlying wikis - openness, non-attribution, egalitarianism, and decentralized control - run in contrast to traditional command-and-control management. To date, little information is available regarding wikis' usage in corporate settings. This paper examines the actual use of wikis in a business setting, to identify factors driving user participation, and to assess the extent to which wikis provide value to both individuals and the organization.

Wiki deployment in corporate settings

The Internet is host to many sites that collect vast amounts of opinions about products and services. These opinions are expressed in written language, and this paper presents a method for modeling the aspects of overall customer satisfaction from free-form written opinions. Written opinions constitute unstructured input data, which are first transformed into semi-structured data using an existing method for aspect-level sentiment analysis. Next, the overall customer satisfaction is modeled using a Bayesian approach based on the individual aspect rating of each review. This probabilistic method enables the discovery of the relative importance of each aspect for every unique product or service. Empirical experiments on a data set of online reviews of California State Parks, obtained from TripAdvisor, show the effectiveness of the proposed framework as applied to the aspect-level sentiment analysis and modeling of customer satisfaction. The accuracy in terms of finding the significant aspects is 88.3%. The average R 2 values for predicted overall customer satisfaction using the model range from 0.892 to 0.999.

Raymond A. Patterson

Papers

The design of reverse distribution networks: Models and solution procedures

Information Quality in Wikipedia: The Effects of Group Composition and Task Conflict

Decision support for disaster management

Wiki deployment in corporate settings

Modeling customer satisfaction from unstructured data using a Bayesian approach