Below is a list of my papers which have been published in referred journals or as technical paper. All of the work was done by me during my post graduate studies at Western Michigan University, Kalamazoo, Michigan, USA. I was there since 1987 to 1991.
My research projects included:
Paper Color modeling and prediction
Simulation Modeling and Analysis of a Just In Time production system
Based on my research, I was awarded All University Graduate Creative and Research Scholar award by the University and was given a Award Citation by the University President in a Award Ceremony.
Effect of Recycling on the Physical Properties of Specific Fibers and Their Networks,”
by John F. Bobalek and Mayank Chaturvedi. In Proceedings, 1988 TAPPI Pulping Conference, p. 183-187.
Bobalek, John F., and Mayank Chaturvedi. 1989.
“The Effects of Recycling on the Physical Properties of Handsheets with Respect to Specific Wood Species.”
Beyond this, there are other analytical approaches:
From Integration of multi-scale planning and scheduling problems
A supply chain may be defined as an integrated process wherein various entities work together in an effort to meet the objectives of each entity as well as the common objectives of the overall supply chain. It is theoretically possible and preferable to build mathematical models for entire supply chains including all interacting strategic and operational decisions throughout the supply chain. Such monolithic models will not be consistent with the nature of the managerial decision process or practical due to computational complexity of models, data and solution techniques. Mathematical programming is most commonly used to formulate planning and scheduling problems within the process industry. The problems are combinatorial in nature which makes them very difficult to solve and it is vital to develop efficient modelling strategies, mathematical formulations and solutions methods. One of the major difficulties in building mathematical programming models is to keep the size within reasonable limits without sacrificing accuracy. To solve full-scale real-world planning and scheduling problems efficiently, simplification, approximation or aggregation strategies are most often necessary (Grunow et al., 2002, Engell et al., 2001).
It is widely recognized that the complex problem of what to produce and where and how to produce it is best considered through an integrated, hierarchical approach which also acknowledges typical corporate structures and business processes (Shah, 1999). Production planning and scheduling in a typical enterprise involves managers at variousechelons within the organization and the decisions that need to be made differ by scope and time horizon and the underlying input information differs by its degree of certainty and aggregation. The decisions also need to be made with different timing and frequency and according to the correct sequence which even further makes the case for an integrated hierarchical approach.
The literature often describes problems solved individually but less often the integration of different problems or the integration of different detail levels of the same problems. An example of an integrated strategic and operational planning problem is described by Kallrath (2002) and an investigation on the integration of long-term, mid-term and short-term planning operations through a common data model is reported by Das et al. (2000). Some typical economical benefits of integrated decision making are listed by Shobrys and White (2002) who conclude that the major challenges in integrating planning, scheduling and control systems are involved in issues like changing human and organizational behavior rather than technical issues. The general conclusion made in the literature is that the integration of decisions with synchronized models is desirable but at the same time it is very difficult to solve such models efficiently.
Key Sources of Research:
Bodington, Charles E., and Thomas E. Baker.
“A history of mathematical programming in the petroleum industry.”
Interfaces 20.4 (1990): 117-127.
Baker, Thomas E., and Leon S. Lasdon.
“Successive linear programming at Exxon.”
Management science 31.3 (1985): 264-274.
Baker, Thomas E.
Encyclopedia of Operations Research and Management Science. Springer US, 2001. 612-614.
Baker, Thomas E., and Donald E. Shobrys.
“The integration of planning, scheduling and control.”