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

Abstract Many different vendor selection models have been published in the purchasing literature. However there has been no systematic approach to compare the relative efficiency of the systems. In this paper we propose to use the concept of Total Cost of Ownership as a basis for comparing vendor selection models. We illustrate the comparison with a real life data set of the purchasing problem of ball bearings at Cockerill Sambre, a Belgian multinational company in the steel industry. From a Total Cost of Ownership perspective mathematical programming models outperform rating models and multiple item models generate better results than single item models for this specific case study.

An evaluation of vendor selection models from a Total Cost of Ownership perspective. IFPMM Summerschool on Advanced Purchasing and Supply Research, Salzburg, Austria, August

An evaluation of vendor selection models from a total cost of ownership perspective

In this paper we give an overview of recent developments in the field of modeling deterministic single-level dynamic lot sizing problems. The focus of this paper is on the modeling of various industrial extensions and not on the solution approaches. The timeliness of such a review stems from the growing industry need to solve more realistic and comprehensive production planning problems. First, several different basic lot sizing problems are defined. Many extensions of these problems have been proposed and the research basically expands in two opposite directions. The first line of research focuses on modeling the operational aspects in more detail. The discussion is organized around five aspects: the set ups, the characteristics of the production process, the inventory, demand side and rolling horizon. The second direction is towards more tactical and strategic models in which the lot sizing problem is a core substructure, such as integrated production-distribution planning or supplier selection. Recent advances in both directions are discussed. Finally, we give some concluding remarks and point out interesting areas for future research.

/pdf/modeling-industrial-lot-sizing-problems-a-review-vruq0a6m3b.pdf

Modeling Industrial Lot Sizing Problems: A Review

https://repub.eur.nl/pub/1336/ERS%202004%20042%20LIS.pdf

Meta-Heuristics for Dynamic Lot Sizing: a review and comparison of solution approaches

SUMMARY
In today's business world characterized by intense global competition, cost management is an important strategic weapon External purchases of products and services generally account for more than 50 percent of total costs Significant cost savings can be realized by effectively selecting suppliers and determining optimal order quantities Existing cost management tools focus on rationalizing production and distribution activities and do not consider the purchasing function In practice, simple, subjective, and incomplete approaches for supplier selection are often used This article presents a rigorous decision support system using total cost of ownership information The system uses a dynamic mathematical programming model that derives a purchasing strategy by minimizing the total costs, taking into account the relevant constraints It allows the purchasing and supply manager to objectively evaluate alternative policies A recent implementation of the system for two product groups at Cockerill Sambre shows potential savings of more than 10 percent compared to current practices

Zeger Degraeve

Papers

An evaluation of vendor selection models from a Total Cost of Ownership perspective. IFPMM Summerschool on Advanced Purchasing and Supply Research, Salzburg, Austria, August

An evaluation of vendor selection models from a total cost of ownership perspective

Modeling Industrial Lot Sizing Problems: A Review

Meta-Heuristics for Dynamic Lot Sizing: a review and comparison of solution approaches

Effectively selecting suppliers using total cost of ownership