I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

https://minerva-access.unimelb.edu.au/bitstream/handle/11343/118668/Multi-critea decision_24.pdf

Multi-criteria decision making approaches for supplier evaluation and selection: A literature review

https://isiarticles.com/bundles/Article/pre/pdf/19101.pdf

A review of methods supporting supplier selection

https://www.icesi.edu.co/blogs/semillerosi3/files/2013/12/3-SUPPLY-CHAIN-MANAGEMENT-A-ANALYTICAL-FRAMEWORK-FOR-CRITICAL-LITERATURE-REVIEW.pdf

Supply chain management: an analytical framework for critical literature review

Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decision-making units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth in the field. As a result, a considerable amount of published research has appeared, with a significant portion focused on DEA applications of efficiency and productivity in both public and private sector activities. While several bibliographic collections have been reported, a comprehensive listing and analysis of DEA research covering its first 30 years of history is not available. This paper thus presents an extensive, if not nearly complete, listing of DEA research covering theoretical developments as well as “real-world” applications from inception to the year 2007. A listing of the most utilized/relevant journals, a keyword analysis, and selected statistics are presented.

Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA

Alternative formulations for a layout problem in the fashion industry

Analysis of an industrial component commonality problem

The cutting operation in the high fashion clothing industry essentially involves putting several layers of cloth on a long cutting table and fixing templates of the parts of several articles on top of the stack before the actual cutting can be initiated. This is a very time-consuming task giving raise to high setup costs in addition to waste production resulting from the cutting process. Total production costs can then be optimized by minimizing the number of these setups while at the same time producing little or no waste. In this paper a mixed integer programming model is proposed that searches for an optimal set of cutting patterns, each giving a combination of articles to be cut in one operation, and corresponding stack heights.

A Mixed Integer Programming Model for Solving a Layout Problem in the Fashion Industry

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7744&context=lkcsb_research

New product development flexibility in a competitive environment

We study the multi-item capacitated lot sizing problem with setup times. Based on two strong reformulations of the problem, we present a transformed reformulation and valid inequalities that speed up column generation and Lagrange relaxation. We demonstrate computationally how both ideas enhance the performance of our algorithm and show theoretically how they are related to dual space reduction techniques. We compare several solution methods and propose a new efficient hybrid scheme that combines column generation and Lagrange relaxation in a novel way. Computational experiments show that the proposed solution method for finding lower bounds is competitive with textbook approaches and state-of-the-art approaches found in the literature. Finally, we design a branch-and-price-based heuristic and report computational results. The heuristic scheme compares favorably or outperforms other approaches.

/pdf/period-decompositions-for-the-capacitated-lot-sizing-problem-1f3qkqa3m1.pdf

Zeger Degraeve

Papers

Alternative formulations for a layout problem in the fashion industry

Analysis of an industrial component commonality problem

A Mixed Integer Programming Model for Solving a Layout Problem in the Fashion Industry

New product development flexibility in a competitive environment

Period Decompositions for the Capacitated Lot Sizing Problem with Setup Times