Chan, Swarnkar, & Tiwari (2007, p10) argue that the agent’s attributes are inclusive of the adaptability, which explains its capability to cope with evolution of the environment and the capability to increment dynamically its own competence. The role of multi-agent is to control the production strategy of an organization; since, the distributed decision making systems are affected by a complexity of the agents control over it. The agent’s organization is comprised of features like the decision making distribution in the production sector and the organizational structure as a whole. In a multi-agent system, communication is very necessary because it helps to coordinate all the agents in carrying out the different task assigned to them accordingly.
The agent’s communication can be classified according to communication vehicle that interchanges information among various agents and the protocol, which explains the structure of the information provided. The multi-agent systems aids in the discrete manufacturing since the main focus of the agent is model definition (Lapre, & Scudder, 2004, p124). The multi-agent systems have brought flexibility and effectiveness in various organizations; whereby, the firms can be able to determine the functional specifications of their components. The agent’s flexibility also aids in acknowledging the least expensive organizational structure of an assembly line and chip in on matters to do with the induction of the engine assembly. The agent systems have also been applied to continuo’s processes, which later bring the benefit of paint savings due to the lower number of color setups that are used. The agents aid in the policy making of jobs that entails the planning, cost analysis, process planning o the organization objectives and advertising the new product to the market. The agents also aid in the marketing of the product and procuring of the product. According to Caridi & Cavalieri (2004, p107), the agent leads to better manufacturing systems and improved co-ordination of various functional units in a given manufacturing company.
A company that is intending to launch a new product with the aim of gaining competitive advantage in global market ought to use the tradeoff method, which will help in the quick delivery of the product to the required destination. This can be best achieved through the maintenance of the high levels of finished goods inventories; hence, there will be flexibility in the operation process. Through the use of the trade off method, the firm will improve their performances and the productivity frontiers by investing in new technologies. The trade off method will aid the firm in bettering and improving its performance; since, this leads to lowering the cost of production of the product. The firm needs to employ the data and method strategy because, they will improve the quality of production in regard to the customers complains. The quality of the product presented in the market is mainly dependent on complains and claims presented by the customers (Boyer, & Lewis, 2002, p14). Transportation of the product needs to be of good standard; since; this interferes with the quality of the product. The quality of the product needs to be improved through the avoidance of any tradeoffs as this helps to meet the customer’s desire. The geographical location of the customers and the product should also be taken in to consideration to reduce the cost that may be incurred in transportation. Congestion in time of transportation needs to be considered to avoid damaging the products and also the products need not to be mishandled in the process.
Boyer, K. K., Lewis, M. W. (2002). Competitive priorities: Investigating the need for trade-offs in operations strategy. Production and Operations Management 11(1) 9–20
Caridi, M., & Cavalieri, S. (2004). Multi-agent systems in production planning and control: An overview. Production Planning & Control, 15(2). Retrieved from Business Source Premier Database
Chan, F. T. S., Swarnkar, R., & Tiwari, M. K. (2007). Infrastructure for co-ordination of multi-agents in a network-based manufacturing system. International Journal of Advanced Manufacturing Technology, 31(9/10). Retrieved from Academic Search Premier database
Lapre, M. A., & Scudder, G. D. (2004). Performance Improvement Paths in the U.S. Airline Industry: Linking Trade-offs to Asset Frontiers. Retrieved from http://www.poms.org/journal/2004-02-Lapre.pdf