By José Miguel Laínez-Aguirre, Luis Puigjaner

Decision making on the company point usually surround not just construction operations and product R&D, yet different strategic services resembling monetary making plans and advertising. With the purpose of maximizing development and a firm’s price, businesses frequently specialize in co-ordinating those useful elements in addition to conventional hierarchical determination degrees. realizing this interaction can increase company functions of version and reaction to uncertainties bobbing up from inner methods in addition to the exterior environment.

This e-book provides recommendations, tools, instruments and options in response to mathematical programming, which supplies the quantitative help wanted for built-in decision-making and finally for bettering the allocation of total company assets (e.g., fabrics, money and personnel).

Through a structures point of view, the built-in making plans of the provision chain additionally promotes actions of reuse, aid and recycling for attaining extra sustainable environmental affects of production/distribution networks. hence, this ebook provides, for the 1st time, a different built-in imaginative and prescient of the company provide Chain making plans and gives a finished account of the state-of-the-art types, tools and instruments to be had to handle the above pointed out good points of the trendy offer chain.

It deals a entire evaluation of the linked literature of provide chain administration after which systematically builds in this wisdom base to increase the mathematical types representing all of the middle sensible devices and choice degrees of the company and indicates how they are often built-in right into a holistic selection challenge formulation.

Abundant illustrations and tables support maximize reader insights into the issues mentioned with numerous case experiences and program additionally examined.

This booklet is meant as a textbook for lecturers (PhD, MSc), researchers and decision-makers, who're serious about the layout, retrofit and review of other eventualities for the advance of the provision chain.

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Extra resources for Advances in Integrated and Sustainable Supply Chain Planning: Concepts, Methods, Tools and Solution Approaches toward a Platform for Industrial Practice

Sample text

An extension to 20 1 Introduction multi-stage SCs considering warehouses operations is reported in Jung et al. (2008). An improvement framework for decentralized SCs is developed by Raj and Lakshminarayanan (2008b) using a simulation-based optimization. Problematic nodes are identified to revise and optimize their inventory policies. Later on, they expand their model to account for multiple objectives using a genetic algorithm (Raj and Lakshminarayanan 2008a). Recently, some works are modeling the SC physical distribution in more detail.

As can be seen, profit and cost have been the most exploited indicators. Such models are useful but no longer enough. They are not sufficient to help companies create and maintain a competitive advantage. To this end, the models should include the sustainable creation of value as objective (Klibi et al. 2010), which requires including as part of their scope financial as well as operation planning decisions. Importantly, a key component in financial modeling is the effective control of cash. Its steady and healthy circulation throughout the entire business operation has repeatedly been shown to be the basis of business solvency (Howard and Upton 1953).

For instance, Türkay et al. (2004) reports a systematic approach to address the exchange of steam and electricity of companies in the same industrial zone. The proposed approach models process units using fundamentals of thermodynamics, conservation of mass and energy, and process data so as to develop an MILP for the SC integration of different process systems. Environmental issues are not included as objective function, but constraints on the SOx emission are taken into account. A later work includes investments, and greenhouse gases emissions constraints (Soylu et al.

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