Do Minimum-Lot-Size Regulations Limit Housing Supply in Texas?

High overhang of housing rates together with the price of houses offered continues to rise lead to Malaysian housing market become very unaffordable. Therefore, it is important to investigate the reason behind the developer’s action in continuing to develop the high-cost housing despite the huge number of unsold housing units in the market in Malaysia. Respondents involved in this study were housing developers from Johor, Selangor and Perak who are currently or previously involved in the high-cost housing development projects that priced above RM300,000. The paper is expected that the developers able to meet the actual housing supply for high-cost housing type.

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MINIMALISASI BIAYA SIMPAN DAN BIAYA SETUP PADA MULTIPLE PRODUK: SIMULASI DENGAN CAPACITATED LOT SIZING PROBLEM

Jurnal Riset Manajemen dan Bisnis (JRMB) Fakultas Ekonomi UNIAT ◽

10.36226/jrmb.v4i2.260 ◽

2019 ◽

Vol 4 (2) ◽

pp. 205-214

Author(s):

Erika Fatma

Keyword(s):

Production Cost ◽

Lot Sizing ◽

Setup Time ◽

Production Costs ◽

Total Production ◽

Product Cycle ◽

Lot Size ◽

Setup Costs ◽

Lot Sizing Problem ◽

Capacitated Lot Sizing

Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finished product. CLSP can reduce the total production cost by 4.05% and can reduce setup time by 46.75%. Keyword: Lot size, CLSP, Total production cost.

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