Planning-related Literature

Integrated planning models in the context of value chain planning can be found in the planning-related literature group under key words such as... 

Concluding, planning-related literature covers parts of the planning process and provides model input for distribution and transportation planning. 

Concluding, planning-related literature so far addresses many requirements areas by covering formulated requirements partly (s. table 14). 

Table 14 Requirements coverage by planning-related literature...

Models in literature with relation to the scope of this work are reflected by the key words in the title planning, global, commodity and chemical industry in the context to value chain management. Given the comprehensive scope of the value chain planning problem, literature analysis is grouped into these four groups ... 

Chemical-industry related literature addressing value chain management focuses on production and supply chain management as well as selectively procurement. Companies in the oil and chemical industries have been leaders for almost 50 years in the development and use of linear and mixed integer programming models to support decision-making at all levels of planning (Shapiro 2004). 

Chemicals-related literature with respect to value chain management has built up comprehensive knowledge and results in the area of production planning, scheduling and distribution as well as in procurement. Therefore, literature covers the following requirements... 

The realization of the need and importance of petrochemical planning has inspired a great deal of research in order to devise different models to account for the overall system optimization. Optimization models include continuous and mixed-integer programming under deterministic or parameter uncertainty considerations. Related literature is reviewed at a later stage in this book, based on the chapter topic. 

The remainder of this Chapter 4 is organized as follows. In Section 4.2 we will review the related literature in the area of petrochemical planning. Then, we will... 

State of the art literature is analyzed to evaluate the coverage of value chain planning requirements in related models. The review helps to iden-... 

Relaxation of hard constraints is critical for optimization-based planning models used in industry practice with more than even 100,000 constraints and specifically for hard integer programming problems (Fisher 2004). Hard constraints set hard minimum and maximum boundaries for decision variables that have to be fulfilled. It may occur that no solution exists fitting all constraints at the same time. Planners have difficulties to identify manually constraints leading to infeasibility. Value chain planning model infeasibility is mainly caused by volume-related constraints of material flows e.g. by bounding sales quantities, inventories, transportation quantities, production and procurement quantities. Examples in literature for relaxation methods to e.g. transportation problems is presented by Klose/Lidke (2005)... 

After you have selected a topic, write a two- to three-paragraph description about your selection. Briefly explain how you will meet the five criteria listed above, including what data you plan to present. Include a list of three to five keywords related to your topic. You will use these terms to conduct a literature search. 

Core preparedness activities must go beyond the routine. Most disasters cannot be managed merely by mobilizing more equipment, personnel, and supplies. Disasters differ from routine daily emergencies, and they pose significant problems that have no counterpart in routine emergency responses. Many disaster-related issues and challenges have been identified in the disaster literature, and they can be anticipated and planned for (Auf der Heide, 2002). 

Bibliographies of Interest to the Atomic Energy Program. To facilitate identification of the large number of unclassified bibliographies that have been prepared on nuclear science and related fields, OTI has compiled this special bibliography. The basic volume (TID-3043, Rev.l) includes bibliographies received by OTI prior to March 15, 1958, and is available from OTS for 3. TID-3043 (Rev.l, Supp.l) covers the literature for March 1958 to October 1959 and is available from OTS for 2.25. Annual supplements are planned. 

The remainder of this paper is organized as follows Section 2 relates our model to well known approaches based on multi-period investment models proposed in the literature. In Section 3, our investment planning model is introduced while in Section 4 the investment planning strategy of a generic process is presented as a case-study. Section 5 gives a discussion on the results of the case study. Finally, in Section 6 our findings are summarized. 

The proposed optimization approach falls into the category of multi-period investment models. Various related approaches can be found in the literature, (e.g. [2], [3]), including MILP optimization for long range investment planning. Some authors also consider stochastic elements to cover the potential uncertainties, which, however, is beyond the scope of this paper. 

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