Optimal Scheduling of Smart Microgrid in Presence of Battery Swapping Station of Electrical Vehicles

Aplikasi Metode Hungarian Dalam Optimalisasi Waktu Penugasan Karyawan dan Keuntungan Produksi Home Industry

Talenta Conference Series Science and Technology (ST) ◽

10.32734/st.v2i2.470 ◽

2019 ◽

Vol 2 (2) ◽

Author(s):

Empya Charlie ◽

Siti Rusdiana ◽

Rini Oktavia

Keyword(s):

Sensitivity Analysis ◽

Optimal Solution ◽

Optimal Scheduling ◽

Total Work ◽

Work Time ◽

Hungarian Method ◽

Total Work Time

Penelitian ini bertujuan untuk mengoptimalkan penjadwalan karyawan di CV. Karya Indah Bordir dalam melakukan tugas-tugas tertentu menggunakan metode Hungaria, serta menganalisis sensitivitas solusi optimal jika ada pengurangan waktu karyawan untuk menyelesaikan tugas-tugas. Metode Hongaria diterapkan pada proses bordir yang melibatkan 11 karyawan dan 10 tugas. Hasil penjadwalan yang optimal meminimalkan waktu produksi bordir perusahaan. Hasil penjadwalan optimal yang ditemukan adalah: karyawan 1 mengerjakan tas Mambo, karyawan 2 mengerjakan tas Elli, karyawan 3 mengerjakan tas Lonjong, karyawan 4 mengerjakan tas Tampang bunga, karyawan 6 mengerjakan tas Ransel, karyawan 7 mengerjakan tas Tima, karyawan 8 mengerjakan tas Keong, karyawan 9 mengerjakan tas Alexa, karyawan 10 mengerjakan tas Luna, dan karyawan 11 mengerjakan tas Mikha, dengan total waktu kerja adalah 13,7 jam. Setelah metode Hongaria diterapkan, CV. Karya Indah Bordir mendapat peningkatan pendapatan sebanyak 9,09%. Analisis sensitivitas dilakukan dengan mengurangi waktu karyawan dalam menyulam tas. Hasil analisis sensitivitas adalah beberapa batasan untuk variabel basis dan non basis untuk mempertahankan solusi optimal. This research has a purpose to optimize the scheduling of employees in CV. Karya Indah Bordir in doing certain tasks using Hungarian method, as well as analyzing the sensitivity of the optimal solution if there is a reduction on the employees time to finish the tasks. The Hungarian method was applied on the embroidery process involving 11 employees and 10 tasks. The optimal scheduling result minimize the time of the embroidery production of the company. The optimal scheduling result found is: employee 1 does the Mambo bag, employee 2 does the Elli bag, employee 3 does the Lonjong bag, employee 4 does the Tampang bunga bag, employee 6 does the Ransel, employee 7 does the Tima bag, employee 8 does the Keong bag, employee 9 does the Alexa bag, employees 10 does the Luna bag, and employee 11 does the Mikha bag, with the total work time is 13,7 hours. After the Hungarian method was applied, CV. Karya Indah Bordir got the increasing revenue as much as 9,09 %. The sensitivity analysis was conducted by reducing the time of the employees take in embroidery the bags. The results of the sensitivity analysis are some boundaries for basis and non basis variables to maintain the optimal solution.

Download Full-text

Optimal Scheduling and Control of Ingot Handling in a Steelmaking Environment

10.23919/acc.1983.4788137 ◽

1983 ◽

Author(s):

Stanley F. Bullington ◽

Yong-Zai Lu ◽

Colin L. Moodie ◽

Theodore J. Williams

Keyword(s):

Optimal Scheduling ◽

And Control

Download Full-text

Factors Affecting Customer Switching Behavior towards Hybrid Electrical Vehicles (HEV’s) from a Customer Perspective in Jordan

European Journal of Marketing and Economics ◽

10.26417/ejme.v1i3.p53-65 ◽

2018 ◽

Vol 1 (3) ◽

pp. 53

Author(s):

Bushra Mahadin

Keyword(s):

Decision Making ◽

Consumer Behaviour ◽

New Technologies ◽

International Marketing ◽

Current Trend ◽

Switching Behavior ◽

Future Research ◽

Decision Making Process ◽

Customer Switching ◽

Electrical Vehicles

Purpose-This paper aims to investigate factors that affect customer switching from Internal Combustion Engine Vehicles (ICEV’s) to Hybrid Electrical Vehicles (HEV’s), in Jordan for the period of (2010-2014).Design/methodology/approach-A self-administered survey was hand-delivered to the targeted sample of car users in Jordan. The authors delivered 400 questionnaires to customers, from which 333 were deemed valid for the analysis, corresponding to the percentage of (83.25%) which indicates the validity of the study. Findings- There was no difference in switching behavior between (ICEV’s) and (HEV’s) based on gender in the Jordanian market. Fuel consumption efficiency was the number one variable that supports the switching behavior towards (HEV's), followed by Eco friendliness, lower taxes and technological features. Price and the current trend in the market were the least supporting factors. In addition to that the perception of the battery life of (HEV's), limited choices in the market, lack of information and fear of the relatively new technology were the major hindering factors of choosing an (HEV).Research limitations-Future research needs to investigate other factors that may affect customers’ behavior such as perceived image, trust, and subjective norms. Future research should investigate into the importance of environmental awareness and new technologies, and gender differences in behavior. From an international marketing standpoint, comparative studies between Jordanian and non-Jordanian customers are potential areas of future research for international marketing strategies and cross-cultural consumer behaviour analysis. Practical implications-The paper identifies the determinants of switching behavior. marketers should focus addressing customers concerns in terms of providing enough information and building awareness towards the technology and it's benefits towards the society and the environment.Originality/value-Our study is one of the few in Jordan that investigates the switching behavior towards vehicles technology. Our study is thought to have made a modest contribution to consumer behaviour literature and, specifically, for decision making process. It offers marketers insights into the determinants of switching behavior towards the hybrid vechicle technology and how this contribute to consumers’ decision making process and attitudes to achieve the intended behavioural outcomes

Download Full-text