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 new variant of the bin-packing problem. It finds its origin in the printing of Tetra-bricks in the beverage industry. Combining different types of bricks in one printing pattern reduces the stock. With each brick, a number of colors are associated, and the total number of colors for the whole pattern cannot exceed a given limit. We develop a branch-and-price algorithm to obtain proven optimal solutions. After introducing a Dantzig-Wolfe reformulation for the problem, we derive cutting planes to tighten the LP relaxation. We present heuristics and develop a branching scheme, avoiding complex pricing problem modifications. We present some further algorithmic enhancements, such as the implementation of dominance rules and a lower bound based on a combinatorial relaxation. Finally, we discuss computational results for real-life data sets. In addition to the introduction of a new bin-packing problem, this paper illustrates the complex balance in branch-and-price algorithms among using cutting planes, the branching scheme, and the tractability of the pricing problem. It also shows how dominance rules can be implemented in a branch-and-price framework, resulting in a substantial reduction in computation time.

The Co-Printing Problem: A Packing Problem with a Color Constraint

We describe a research and development project-valuation model developed for Phytopharm plc, a pharmaceutical development and functional food company based in Cambridgeshire, United Kingdom. Phytopharm uses the model to value the projects in its research and development portfolio, and in licensing negotiations with potential product development and marketing partners. We include different valuation methods, including net present value, decision analysis, and Monte Carlo simulation. We also consider the technological risks of product development, as well as the uncertainty of commercial success. In addition to determining a value for a product in development, the model proposes appropriate licensing contract structures. A typical licensing contract specifies milestone payments and royalties to be paid by the licensee to the licensor. The contract structures adhere to an agreed-upon equitable split of the project value between the two parties. The model also generates critical information during the negotiation meetings, including break-even analyses, trade-offs, and bargaining zones. Phytopharm is currently deploying the model for use with its entire project portfolio.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2248&context=lkcsb_research

Research and Development Project Valuation and Licensing Negotiations at Phytopharm plc

We describe a scheduling system for the curing operation at Bridgestone/Firestone Off-The-Road (BFOR), a manufacturer of large tires for heavy off-the-road machines such as trucks, tractors, and earthmoving equipment used in the construction, lumber, and mining industries. The huge tires, having different priorities, are built in molds and put into heaters for the curing process. The problem is to find a feasible assignment of tires to molds and molds to heaters to achieve a maximum total priority. Our system produces about 7% more tires per shift compared to the previous manual way of developing schedules and moves the company toward its goal of quick response manufacturing with low inventories. The core algorithm is a column generation procedure to produce a production schedule for one work shift. This approach is then used in a “rolling horizon” fashion. The size of the problem posed several computational challenges. Computational efficiencies come from (1) a dramatic effort to eliminate alternative so...

A Tire Production Scheduling System for Bridgestone/Firestone Off-The-Road

We examine the valuation of projects in a setting where an investor, such as a private firm, can invest in a portfolio of projects as well as in securities in financial markets. In project valuation, it is important to consider all alternative investments opportunities, such as other projects and financial instruments, because each imposes an opportunity cost on the project under consideration. Therefore, conventional methods based on decision analysis may lead to biased estimates of project values, because they typically consider projects in isolation from other investment opportunities. On the other hand, options pricing analysis, which does consider financial investment opportunities, assumes that a project's cash flows can be replicated using financial assets, which may be difficult in practice. The main contribution of this paper is the development of a procedure for project valuation in a setting where the firm can invest in a portfolio of projects and securities, but where exact replication of project cash flows is not necessarily possible. We consider both single-period and multi-period models, and show that the valuation procedure exhibits several important analytical properties. We also investigate the pricing behavior of mean-variance investors through a set of numerical experiments.

/pdf/project-valuation-in-mixed-asset-portfolio-selection-3o86gc265x.pdf

Project Valuation in Mixed Asset Portfolio Selection

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7754&context=lkcsb_research

Zeger Degraeve

Papers

The Co-Printing Problem: A Packing Problem with a Color Constraint

Research and Development Project Valuation and Licensing Negotiations at Phytopharm plc

A Tire Production Scheduling System for Bridgestone/Firestone Off-The-Road

Project Valuation in Mixed Asset Portfolio Selection

MABS: Spreadsheet– based decision support for precision marketing