Sourcing with recycled materials: a contingent sourcing model with supply unavailability and setup time uncertainty for ripple effect mitigation

Author(s):  
Chung-Chi Hsieh ◽  
Hung-Lin Chang
2021 ◽  
Vol 96 ◽  
pp. 751-765
Author(s):  
Chung-Chi Hsieh ◽  
Hsing-Hua Lai ◽  
Nur Aini Masruroh

2020 ◽  
Vol 11 (1) ◽  
pp. 39-41
Author(s):  
Avtar Judge
Keyword(s):  

In this article, a student describes his development and implementation of a 'candle recycler'; that is, a device for saving melted wax and, at the same time, generating reusable candles. His invention uses recycled materials and is intended for use by people who may not have access to electric lights and/or may not have sufficient funds to purchase candles. This invention is meant as a research-informed and negotiated action to overcome harms the student perceived in relationships among fields of science & technology and societies & environments (STSE).


2012 ◽  
Vol 13 (2) ◽  
pp. 279-297
Author(s):  
문태형 ◽  
곽영환 ◽  
Jaehwan Kim ◽  
Hyuk-Dae Kwon

Author(s):  
Rinkle Chhabra ◽  
Anuradha Saini

Mobile Ad Hoc Networks (MANET) are autonomous, infrastructure less and self-configuring networks. MANETs has gained lots of popularity due to on the fly deployment i.e. small network setup time and ability to provide communication in obstreperous terrains. Major challenges in MANETs include routing, energy efficiency, network topology control, security etc. Primary focus in this article is to provide method and algorithm to ensure significant energy savings using re-configurable directional antennas. Significant energy gains can be clinched using directional antenna. Key challenges while using directional antenna are to find destination location, antenna focusing, signal power and distance calculations. Re-configurable directional antenna can ensure significant energy gains if used intelligently. This article provides a brief insight into improved energy savings using re-configurable directional antennas and an associated algorithm


2019 ◽  
Vol 4 (2) ◽  
pp. 205-214
Author(s):  
Erika Fatma

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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