Distribution of commodities such as power fuels to agricultural operations
often involves trade-offs among competing criteria (for instance, minimizat
ion of delivery time versus maximization of volume delivered). The agricult
ural environment faces a number of market dynamics, including declining mar
gins and more efficient farming methods such as 'no-till' farming, that aff
ect the demand for power fuels. This dynamic environment requires farm mana
gers to examine the supply chain for opportunities to obtain more efficient
and effective delivery plans. We present an approach for distribution plan
ning. It is comprised of three tightly-coupled stages with an underlying DS
S system which we also applied to this single-commodity multiple-depot scen
ario of distributing agricultural power fuel to customers. The process faci
litates (1) Problem characterization, (2) Model specification, and (3) Inte
ractive distribution planning. A synthesis of the literature with our curre
nt study offers managers and academics a useful application scenario for in
tegrating process components and viewing the major thrusts of past research
. We present an illustrative case study which required a bicriteria model.
Trade-offs are examined among non-dominated distribution plans.