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

The Co-printing Problem is a packing problem, where a set of items with an associated color set must be packed in as few bins as possible such that the capacity of the bin and the limit on the number of colors per bin is not exceeded. It finds its origin in the printing of Tetra-bricks in the beverage industry. We introduce an LP formulation for the problem, derive cutting planes and present a column generation algorithm. We develop a branch-and-price algorithm and compare it with an existing branch-and-bound method. Finally, we propose to combine both procedures to obtain excellent computational results.

A branch-and-price algorithm for the co-printing problem

Zeger Degraeve Raf Jans Luc Schepens This paper describes a real life case of a joint production-marketing decision problem at a large international manufacturer. The range of products considered in this study is split up into product families. All the models within each product family make use of some common basic components. The company wants to redesign the products. The goal of the redesign is to increase quality and reliability and boost benefits for the customers in addition to lowering production costs. The cost reduction enables the firm to lower the price. Consequently, the redesign is of strategic importance. This redesign implies a proposal of a new range split, i.e. determine which range of end products will make use of the same common components. The range split has a direct impact on the development costs of the common components, the production costs of the end products and hence also on the sales price and the number of units sold. The problem is to find the most economical split. In order to solve the problem, we will need to integrate information from different functional areas such as production, marketing and accounting. The range split problem is essentially an assortment problem at subassembly level, which leads to component commonality. We propose a mixed integer nonlinear optimization model that is gradually extended with additional industrial considerations, price optimization and demand uncertainty. The management of the company was satisfied with our solution and they decided to implement the proposal.

Zeger Degraeve

Papers

A branch-and-price algorithm for the co-printing problem

A strategic range split problem