Farida Pulansari
University of Pembangunan National "Veteran" Jawa Timur

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Reverse Logistics Systems: Persepsi dan Harapan Konsumen Farida Pulansari; Dwi Sukma Donoriyanto; Nisa Masruroh
Jurnal Teknik Industri Vol. 18 No. 2 (2016): DECEMBER 2016
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.783 KB) | DOI: 10.9744/jti.18.2.113-122

Abstract

Complaint is a signal that indicates important information directly by customers. Complaint will give valuable information to company to plan recovery strategies to maintain customer satisfaction and loyalty. Hence, electronic waste (E-waste) becomes a hot issue internationally, domestically and locally. There are many kind of regulations, strategy, methods or approach to minimize of E-waste. The goal of this research is design of house of reverse logistics (HRL) to understanding the customer needs and wants for reverse logistics (RL) implementation. This research adopted quality function deployment (QFD) method to construct the HRL. Differences among them are determination of the customer needs and wants. HRL insert five perspectives i.e. input, structure, process, output, and social and organization. In other hand, QFD only inserts consumer perspectives. The results showed the important factors of consumer dissatisfaction comes from: third-party services mechanism (20%), collaboration RL system (collection centers, recycling centers, disposal center; 10%), the standardization of servicing system (10%).
The Unrelated Parallel Machine Scheduling with a Dependent Time Setup using Ant Colony Optimization Algorithm Farida Pulansari; Triyono Dwi Retno M.
Jurnal Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.65-74

Abstract

The unrelated parallel machine scheduling (PMS) problem is essential for the manufacturing industry. Scheduling will save company resources, especially time management. By solving scheduling problems quickly and precisely, the company can get more profit. On that note, this paper focused on unrelated PMS problems, which did not consider the inherent uncertainty in processing time and set up time by minimizing the makespan and tardiness. This paper aimed to minimize the makespan and tardiness using timing considerations. This paper described how to schedule unrelated parallel machines using the Ant Colony Optimization (ACO) Algorithm approach. The ACO is beneficial for inherent parallelism problems and can provide fast and reasonable solutions. This study revealed that the results of ACO Algorithm scheduling were obtained under a steady condition in iteration 30467. This condition can be interpreted that the makespan and tardiness value is close to 2.75%. By minimizing the makespan and tardiness, the delay of product delivery to consumers can be anticipated. Moreover, a company can maintain customer satisfaction and increase its profit.