Abstract:
Nowadays, as the consumer market
becomes quite competitive and challenging, to
gain the customer’s satisfactions is vital.
Therefore, Decision Support System would play an
important role in mass production line. MILP
would be a proper theory to utilize. Food
Production System is proposed by creating MILP
model and the Big-M Method can be used for
solving process. Food Production System
produces production schedule in order to get the
required quantity on the user’s requested time.
Moreover, the system helps with the decision to
acquire the total minimum production cost. In
industrial mass production, the input data such as
labor cost, machine working speed, kind of
product etc… would be various according to
different condition. Even though the system works
on a certain constraint, it still can dynamically
create updated relevant production schedules.The
objective function that is minimized considers all
major sources of production cost that depend on
the production schedule, i.e. changeover cost,
inventory cost and labor cost. The model is
applied to a food production line of an industry
and the results are presented and discussed.
