Chain optimization

L. Holm and C. Sander, Fast and simple Monte Carlo algorithm for side chain optimization in proteins. Proteins 14 (1992), 213-223. 

AMETIST (2005) Case Study 4 Value Chain Optimization - Final Report, available at http //ametist.cs.utwente. nl/INTERNAL/PUBLI CATIONS/ DELIVERABLES/del3.4.2.pdf. 

The bullwhip effect motivated research and practice to focus on crosscompany supply chain optimization of information and material flows between companies. Several authors specify a set of objectives related to cross-company supply chain optimization ... 

R6 - Price uncertainty consideration in planning Spot demand quantity and prices are uncertain in commodity business specifically in the considered planning horizon of 3-12 months. Since price is the main buying criterion in commodity business, mid-term demand quantity is mainly influenced by the price level. If spot demand quantity and prices depend on each other, uncertainty can be limited to one parameter while the other parameter is kept constant. The spot demand price is considered as uncertain in this problem leading to different turnover scenarios for the same sales quantity. Lababidi et al. (2004) presenting a petrochemical case that had to consider uncertainty in market prices and raw material costs in supply chain optimization. 

The value objective function is oriented at the company s profit and loss definitions. Guiding principle is to only use value parameters that can be found in the cost controlling of the company signed by controlling. Penalty costs and without currency and weighting factors being applied to steer optimization results but having no actual financial impact - as it can be often found in supply chain optimization models - do not meet this requirement. 

Input product quantities like raw material consumption rates can be variable depending on utilization of the resource. Input product quantities are determined by linear recipe function with the recipe factors ap and bP pt on a tons per hour basis V r,s,/> e IPU. This is a key issue of the production and the entire supply model including procurement is to decide on the variable raw material consumption rates in production. Both production and procurement planning are highly interrelated, i.e. high production rates determine the amount of raw material that has to be supplied. In the overall context of value chain optimization, production rates have to comply with decisions reflected by the sales model e.g. on spot sales quantities and prices. 

Beming G, Brandenburg M, Gursoy K, Mehta V, Tolle F (2002) An integrated system solution for supply chain optimization in the chemical process industry. OR Spectrum 24 371-401... 

Gjerdrum J, Shah N, Papageorgiou LG (2001) Transfer Prices for Multienterprise Supply Chain Optimization. Industrial Engineering Chemistry Research 40 1650-1660... 

Merkuryeva G (2005) Response Surface-based Simulation Metamodelling Methods, Dolgui A, Soldek J, Zaikin O (eds) Supply Chain Optimization Prod-uct/Process Design, Facility, Location and Flow Control. Springer, Berlin et al.,pp 205-216... 

Zhang J (2005) Transshipment and its Impact on Supply Chain Members Performance. Management Science 51 (10) 1534-1539 Zhou T, Cheng S, Hua B (2000) Supply Chain Optimization of Continuous Process Industries with Sustainability Considerations. Computers Chemical Engineering 24 1151-1158... 

Figure 4.21 An illustration of how the configuration of glycosidic bonds determine polysaccharide structure and function. The P-1-4 linkages in cellulose favourize straight chains, optimal for structural purposes, whereas the a-1-4 linkages are favourable to bent structures, better adapted to storage in a hydrated form.

Grossmann, I. E. (2004) Challenges in the new millennium Product discovery and design, enterprise and supply chain optimization, global life cycle assessment, Computers and Chemical Engineering, 29, 29-39. 

Bok, J.K., Grossmann, I.E., and Park, S. (2000) Supply chain optimization in continuous flexible processes. Industrial S. Engineering Chemistry Research, 39, 1279. 

Categorization schemes have been suggested both for facility location (e.g., Hamacher and Nickel 1998 Ballou 1992, pp. 323-324 Brandeau and Chiu 1989, pp. 647-650) and supply chain optimization models (e.g., Bankhofer 2003, pp. 27-34 Bestmann 2001, pp. 46-47) and many literature reviews contain classifications of the models they review. The following criteria (the abbreviations in brackets are used in Table 4), extending the classification introduced by Melo et al. (2005, p. 198), are used to classify the models from literature contained in Table 4 ... 

Martel A (2005) The design of production-distribution networks a mathematical programming approach. In Geunes J, Pardalos PM (eds) Supply Chain Optimization. Springer, Berlin et al., pp 265-305... 

Papageorgiou LG, Rostein GE, Shah N (2001) Strategic Supply Chain Optimization for the Pharmaceutical Industries. Industrial Engineering Chemistry Research 40 275-286... 

Schaffer, L. and Verkhivker, G. M. (1998) Predicting structural effects in HIV-1 protease mutant complexes with flexible ligand docking and protein side-chain optimization. Proteins Struct. Fund. Gen. 33,295-310. 

Two further energy functions based on Poisson-Boltzmann electrostatics and atomic solvation parameter (ASP)-based parameterizations of the solvation free energy changes43 were evaluated by Weng et al.57 in the context of side-chain optimization after rigid-body docking. 

Fig. 5. Affinity maturation of antibodies by CDR walking. CDR walking involves the sequential or parallel optimization of CDRs by randomization of key recognition sequences and subsequent selection by phage display. Shown is a combination of sequential and parallel CDR optimization that was used in the affinity maturation of humanized LM609 (Rader et al, in preparation). CDR3 of the light chain was optimized first, followed by a parallel optimization of CDR1 and CDR3 of the heavy chain. Optimized CDR1 and CDR3 of the heavy chain were combined in the last step.

Fruit Industry Supply Chains (FISC) are interconnected networks conformed by production nodes (farms), processing plants (fruit packaging and concentrated juice plants), and storage facilities, along with clients and third party raw material and services suppliers. Although Supply Chain optimization is a mature field, very few contributions on FISC modeling with management purposes have appeared so far in the open literature. 

Supply chain optimization with homogenous product transport constraints... 

Supply Chain Optimization with Homogenous Product Transport Constraints... 

Keywords supply chain optimization, decision levels, MILP, model predictive control. 

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