This course develops the theory and practice of operational and supply chain management techniques applied to agriculture. Techniques and procedures are developed that can be used by managers or professional consultants to help improve operational efficiency in modern agriculture. Topics may vary, but will typically include forecasting, decision trees, numerical optimization, productivity analysis, queueing theory, logistics (including transportation and inventory analysis), the theory of fair division and an overview of agricultural forecasting/simulation models in support of agricultural management and business decisions. Weekly hours: 3 Lecture hoursPrerequisite(s): AREC 272.3 or permission of the instructor (AREC 262.3 is highly recommend). Note: Students with credit for BPBE 420 may not take this course for credit.
This course develops the theory and practice of operational and supply chain management techniques applied to agriculture. Techniques and procedures are developed that can be used by managers or professional consultants to help improve operational efficiency in modern agriculture. Topics may vary, but will typically include forecasting, decision trees, numerical optimization, productivity analysis, queueing theory, logistics (including transportation and inventory analysis), the theory of fair division and an overview of agricultural forecasting/simulation models in support of agricultural management and business decisions. Weekly hours: 3 Lecture hoursPrerequisite(s): AREC 272.3 or permission of the instructor (AREC 262.3 is highly recommend). Note: Students with credit for BPBE 420 may not take this course for credit.
