Abstract
The convoluted operational nature of the distillery industry has left production managers battling with their planning needs. Meanwhile competition in the industry is nurtured around efficient and effective production facility and workforce configurations. Using a hypothetical dataset, this paper demonstrates how firms in Ghana’s distillery industry can apply plant capacity utilization and efficiency measures, financial cost and volume analysis, and machine hour measuring techniques to plan their production configurations at optimal cost and profit levels. The paper also designs a workforce re-engineering model for firms using a Simplex Linear Programming (LP) Method. Firms are now assured of an effective strategy for decision-making on the type of production plant to install the quantity of products to produce in a particular period and the maximum cost and profit levels to produce at. In addition, firms can also determine labor-hours and overtime schedules that would be required for a particular production period accurately.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
