Bayonne Packaging Inc.
Deborah Melvin
Walden University
Bayonne performance using an influence diagram is as shown below
Waiting for job accumulation
Lack of expert machine servicing
Failure to meet delivery schedule
Quality and delivery
Cost
Failure to meet orders on time
Lack of trust in Bayonne delivery ability
Low expectations from company
Why are the sales in Bayonne’s Company reducing?
Customers moving up order dates
Casual loop performance diagram of Bayonne Inc.
Quality control
Quicker deliveries
Machine servicing
Better packaging of products
Sales quality and delivery improvement
Higher objectives from company
Job scheduling
A causal loop diagram shows the inter relation between differing variables. The variables are represented and the links between them also pointed out.it consists of nodes and edges. Nodes are the variables while edges are the links between them. The casual loop speaks in a language simple to understand and points out the relation between variables and points out the obvious defects of the company by linking out loops (Chatfield, 2018).
Bayonne’s performance is negatively being influenced by deliveries, sales and quality of the products. The casual loop diagram points out how best to improve the sales to successfully get rid of this problem
Bayonne Packaging Corporation is experiencing a drop in both the quality of products supplied and failure to meet supply deadlines. The performance model points out the issues in the company while the casual loop model suggests the possible ways to cope with the problems and ensure both profitability of the company and the long term satisfaction of the customers.
Expert machine servicing: instead of entrusting the servicing of the machines to their handlers Bayonne should rely more on expert machine servicing. This should be done regularly not only when the machines break down. The machines should be checked for wear and tear and necessary parts replaced. This will ensure quicker execution of work and also improvement in the quality of work done. Servicing of this machines will ensure prevention of their failures before they become a serious problem and slow down the production process (Xanthopoulos, 2016).
Delivery schedules: the company should stress the importance of working with a schedule that meets the timeline of its customers. Consistent late deliveries of the products by the company will lead to its losing business as well as reputation, this will reduce its clients list. The company should ensure deliveries are done on time for the satisfaction of the clients irrespective of the order size (Avelar, 2018).
Expectation from staff: staff delivery in complete orders should not be tolerated by the company. Getting a partial delivery no matter by how insignificant the percentage should become an issue tabled by the company, low deliveries should not tolerated. The staff should be made to realize that not only is it there duty to delivery but also to deliver on time. In case the company is understaffed, then it will be prudent to take on more staff (Sodeyfi, 2016).
Customers moving up dates: the reason why customers of Bayonne Inc. move up their due dates for their orders is due to lack of trust in the ability of the company to deliver. Trust should be built between the company and the clients. To do this the company should be able to show its ability to meet the client’s needs. Also the clients should be made aware of the changes within the company and asked for more definite dates for a delivery (Escriche, 2015).
Packaging of products: the products should be packaged in such a way that it’s both safe and easy to open. It should be easy for the owner to open the product without unnecessary strain. Excessive glue use which is the reason for this should be checked and whether it’s attributed to the machine or to its operator it should be stopped (Sodeyfi, 2016).
Bayonne is a company with a huge market potential but this can only be fully realized if it plugs the hole in the ship when it comes to the delivery and the quality of the products it produces.
References
Chatfield, C. (2018). Introduction to multivariate analysis. Routledge.
Mourtzis, D., Vlachou, E., Milas, N., & Xanthopoulos, N. (2016). A cloud-based approach for maintenance of machine tools and equipment based on shop-floor monitoring. Procedia Cirp, 41, 655-660.
Avelar, L. (2018). STRUCTURAL MODEL TO ASSESS THE RELATIONSHIP OF MANUFACTURING PRACTICES TO DELIVERY TIME IN SUPPLY CHAINS. Instituto de Ingeniería y Tecnología.
Sodeyfi, S. (2016). Review of literature on the nexus of financial leverage, product quality, & business conditions. Journal of Economic & Management Perspectives, 10(2), 146-150.
Juan-Borrás, M., Periche, A., Domenech, E., & Escriche, I. (2015). Routine quality control in honey packaging companies as a key to guarantee consumer safety. The case of the presence of sulfonamides analyzed with LC-MS-MS. Food Control, 50, 243-249.