Dynamic modeling of a multi-site specialty chemical manufacturing supply chain

Shifting from a single-site manufacturing facility to a multi-site enterprise enables a company to seize business opportunities by increasing production, specializing capabilities, and moving closer to target markets and low cost raw material sources. The supply chain of such a multi-site enterprise is complex as numerous interacting entities with different interests are involved. In this paper, we present a dynamic model of a multi-site chemical supply chain, which can serve as a quantitative simulation tool to aid decision-making. The model explicitly considers the entities and their interactions in various supply chain activities such as order acceptance and assignment, job scheduling, raw material procurement, storage, and production. Different policies, configurations, and uncertainties can be simulated and their impacts on overall performance can be analyzed. This paper describes the model and illustrates its application for decision support in a multi-site chemical supply chain.

[1]  Wenkai Li,et al.  Decision support for integrated refinery supply chains: Part 1. Dynamic simulation , 2008, Comput. Chem. Eng..

[2]  Josef Kallrath,et al.  Optimal planning in large multi-site production networks , 2000, Eur. J. Oper. Res..

[3]  A. Adhitya,et al.  Agent-based simulation of a specialty chemicals supply chain , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

[4]  Thomas H. Brush,et al.  Plant roles and decision autonomy in multinational plant networks , 2004 .

[5]  Rajagopalan Srinivasan,et al.  Decision support for integrated refinery supply chains: Part 2. Design and operation , 2008, Comput. Chem. Eng..

[6]  Jaime Cerdá,et al.  Optimal management of logistic activities in multi-site environments , 2008, Comput. Chem. Eng..