Optimization and Technician Time

9 September 2016

Programming language Management of High Tech Services (HTS) would like to develop a model that will help allocate its technician’s time between service calls to regular contract customers and new customers. A maximum of 80 hours of technician time is available over the two-week period. To satisfy cash flow requirements, at least \$800 in revenue must be generated through technician time during the two-week period. Technician time for regular customers generates \$25 per hour. However, technician time for new customers only generates an average of \$8 per hour because in many cases a new customer contact does not provide billable services.

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To ensure that new customer contacts are being maintained, the technician time spent on new customer contacts must be at least 60% of the time spent on regular customer contacts. Given these revenue and policy requirements, HTS would like to determine how to allocate technician time between regular customers and new customers so that the total number of customers contacted during the two-week period will be maximized. A technician can contact on average 1. 2 regular customers per hour and 1 new customer per hour.

Develop a linear programming model that will enable HTS to allocate technician time between regular customers and new customers. Report the optimal solution. Management of High Tech Services (HTS) would like to develop a model that will help allocate its technician’s time between service calls to regular contract customers and new customers. A maximum of 80 hours of technician time is available over the two-week period. To satisfy cash flow requirements, at least \$800 in revenue must be generated through technician time during the two-week period. Technician time for regular customers generates \$25 per hour.

However, technician time for new customers only generates an average of \$8 per hour because in many cases a new customer contact does not provide billable services. To ensure that new customer contacts are being maintained, the technician time spent on new customer contacts must be at least 60% of the time spent on regular customer contacts. Given these revenue and policy requirements, HTS would like to determine how to allocate technician time between regular customers and new customers so that the total number of customers contacted during the two-week period will be maximized. A technician can contact on average 1.2 regular customers per hour and 1 new customer per hour.

Develop a linear programming model that will enable HTS to allocate technician time between regular customers and new customers. Report the optimal solution. Management of High Tech Services (HTS) would like to develop a model that will help allocate its technician’s time between service calls to regular contract customers and new customers. A maximum of 80 hours of technician time is available over the two-week period. To satisfy cash flow requirements, at least \$800 in revenue must be generated through technician time during the two-week period.

Technician time for regular customers generates \$25 per hour. However, technician time for new customers only generates an average of \$8 per hour because in many cases a new customer contact does not provide billable services. To ensure that new customer contacts are being maintained, the technician time spent on new customer contacts must be at least 60% of the time spent on regular customer contacts. Given these revenue and policy requirements, HTS would like to determine how to allocate technician time between regular customers and new customers so that the total number of customers contacted during the two-week period will be maximized.

A technician can contact on average 1. 2 regular customers per hour and 1 new customer per hour. Develop a linear programming model that will enable HTS to allocate technician time between regular customers and new customers. Report the optimal solution. Management of High Tech Services (HTS) would like to develop a model that will help allocate its technician’s time between service calls to regular contract customers and new customers. A maximum of 80 hours of technician time is available over the two-week period.

To satisfy cash flow requirements, at least \$800 in revenue must be generated through technician time during the two-week period. Technician time for regular customers generates \$25 per hour. However, technician time for new customers only generates an average of \$8 per hour because in many cases a new customer contact does not provide billable services. To ensure that new customer contacts are being maintained, the technician time spent on new customer contacts must be at least 60% of the time spent on regular customer contacts.

Given these revenue and policy requirements, HTS would like to determine how to allocate technician time between regular customers and new customers so that the total number of customers contacted during the two-week period will be maximized. A technician can contact on average 1. 2 regular customers per hour and 1 new customer per hour. Develop a linear programming model that will enable HTS to allocate technician time between regular customers and new customers. Report the optimal solution.

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