COMPUTER-AIDED SELECTION OF THE OPTIMAL LOT SIZING SYSTEM (CALS)

Abstract

A lot of works have been done by the researchers to solve lot-sizing problems over the past few decades. Many techniques and algorithm have been developed to solve the lot-sizing problems. Basically, most of the algorithms are developed either based on heuristic or mathematical approach. Since Computer-Aided has been given attention by the researchers in many areas including production planning, therefore in this paper we implement Computer-Aided to solve single level lot-sizing problem. Five models are developed based on five well known heuristic techniques, which are Lot-For-Lot (LFL), Economic Order Quantity (EOQ), Periodic Order Quantity (POQ), Part Period Balancing (PPB) and Wagner-Within algorithm (WW). The planning period involves in the model is 5 period where demand in the periods are varies but deterministic. The model was developed using Visual Basic Version 5 with ACCESS database. Results show that when entering the needed inputs through the user interface, which is general inputs and special inputs, the (CALS) system selects the suitable lot size technique that gave optimum solution and easy application to the lot-sizing problem.