WARRANTY AND OPTIMAL UPGRADE STRATEGY FOR USED SYSTEMS: AN ELECTRIC DRILL CASE STUDY

2012 ◽  
Vol 29 (04) ◽  
pp. 1250023 ◽  
Author(s):  
MAHMOOD SHAFIEE ◽  
STEFANKA CHUKOVA ◽  
MAXIM FINKELSTEIN
Keyword(s):  
Functional State ◽  
Additional Cost ◽  
Practical Application ◽  
Trade Off ◽  
Action Strategies ◽  
Electric Drill ◽  
Warranty Cost ◽  
The Cost

Offering warranty for a second-hand item stimulates the sales of the item, but at the same time, it accumulates additional warranty servicing cost. This additional cost can be reduced through actions that improve the reliability of the item, such as overhaul and upgrade. An upgrade action brings the second-hand item to an improved functional state and it effectively reduces the age of the item. In this paper, we propose a model aiming to determine the optimal upgrade action strategies that achieve a sensible trade-off between the cost of an upgrade action and the reduction of the expected warranty cost due to this action. A practical application case on electric drills is used to illustrate our findings.

Developing Schedule With Linear Programming (Case Study: STTF II Project Komplek Sukamukti Banjaran)

2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Time Limit ◽  
Minimum Time ◽  
Service Cost ◽  
Trade Off ◽  
Overtime Work ◽  
The Cost

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective

Including decision-makers preferences in the cost-deprivation trade-off during disaster interventions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florian Diehlmann ◽  
Patrick Siegfried Hiemsch ◽  
Marcus Wiens ◽  
Markus Lüttenberg ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Humanitarian Logistics ◽  
Decision Makers ◽  
Weighted Sum ◽  
Trade Off ◽  
Content Type ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
The Cost

Purpose In this contribution, the purpose of this study is to extend the established social cost concept of humanitarian logistics into a preference-based bi-objective approach. The novel concept offers an efficient, robust and transparent way to consider the decision-maker’s preference. In principle, the proposed method applies to any multi-objective decision and is especially suitable for decisions with conflicting objectives and asymmetric impact. Design/methodology/approach The authors bypass the shortcomings of the traditional approach by introducing a normalized weighted sum approach. Within this approach, logistics and deprivation costs are normalized with the help of Nadir and Utopia points. The weighting factor represents the preference of a decision-maker toward emphasizing the reduction of one cost component. The authors apply the approach to a case study for hypothetical water contamination in the city of Berlin, in which authorities select distribution center (DiC) locations to supply water to beneficiaries. Findings The results of the case study highlight that the decisions generated by the approach are more consistent with the decision-makers preferences while enabling higher efficiency gains. Furthermore, it is possible to identify robust solutions, i.e. DiCs opened in each scenario. These locations can be the focal point of interest during disaster preparedness. Moreover, the introduced approach increases the transparency of the decision by highlighting the cost-deprivation trade-off, together with the Pareto-front. Practical implications For practical users, such as disaster control and civil protection authorities, this approach provides a transparent focus on the trade-off of their decision objectives. The case study highlights that it proves to be a powerful concept for multi-objective decisions in the domain of humanitarian logistics and for collaborative decision-making. Originality/value To the best of the knowledge, the present study is the first to include preferences in the cost-deprivation trade-off. Moreover, it highlights the promising option to use a weighted-sum approach to understand the decisions affected by this trade-off better and thereby, increase the transparency and quality of decision-making in disasters.

Warranty Cost Prediction Using the Mahalanobis-Taguchi System

2009 ◽  
Author(s):  
Rodney Kestle ◽  
Elizabeth Cudney
Keyword(s):  
Poor Quality ◽  
Correlated Data ◽  
Data Sets ◽  
Cost Prediction ◽  
Cost Avoidance ◽  
System A ◽  
Multiple Characteristics ◽  
Warranty Cost ◽  
The Cost

In any competitive market, businesses need to differentiate their offerings. Many industries use a warranty as an offering that not only differentiates the product or service, but also extends the customer’s expected durability of the product or service. By offering to share the risk of a customer’s purchase in the form of a warranty, a business assumes the cost of poor quality and therefore should have a vested interest to reduce this cost thus maximizing its profits. Warranty cost prediction methods are used by many leading companies, but these methods typically only focus on failure reduction as cost avoidance. Additional dimensions should be considered when predicting warranty cost. This paper presents the application of the Mahalanobis-Taguchi System to forecast warranty cost based on multivariate data. Using Mahalanobis-Taguchi System, a product or service’s warranty cost can be predicted using multiple characteristics thus providing a more complete estimate. The Mahalanobis-Taguchi System also enables businesses to estimate their warranty cost as early as conceptual design, due to the method’s ability to forecast based on small, correlated data sets. A case study utilizing warranty data is also provided to illustrate the technique.

Optimizing the cost, LEED credits, and time trade-offs using a genetic algorithmic model

2020 ◽  
Vol 47 (5) ◽  
pp. 596-608
Author(s):  
Shantanu Kumar ◽  
Mohammed S. Hashem M. Mehany
Keyword(s):  
Construction Projects ◽  
Time Budget ◽  
Study Data ◽  
Trade Off ◽  
Trade Offs ◽  
Dataset Size ◽  
Preliminary Study ◽  
Algorithmic Model ◽  
The Cost

Over the last century, the complexity of construction projects has increased exponentially and its factors (e.g., time, budget, and quality) have generated complicated trade-offs. This research focuses on the trade-off between time, cost, and sustainability represented in Leadership in Energy and Environmental Design (LEED) credits (particularly materials and resources). The research is broken into preliminary and validation studies wherein the preliminary study uses an exhaustive search to find the optimized solution. In the validation case study, dataset size increased exponentially, and it became computationally incompatible to find the optimized solution. Genetic algorithm (GA) is used to find the optimized solution based on user-defined priority factors. Usage of GA is validated using the preliminary study data and then applied to the validation study data. A trade-off is seen between the priority factors and the optimized solution. The optimization model is successful in minimizing the time and cost, concurrently maximizing the points associated with LEED credits for a validation case study.

scholarly journals Analisis Waktu dan Biaya dengan Metode Crash Duration pada Keterlambatan Proyek Pembangunan Jembatan Sei Hanyu Kabupaten Kapuas

2017 ◽  
Vol 6 (1) ◽  
pp. 8-22
Author(s):  
Wateno Oetomo ◽  
Priyoto Priyoto ◽  
Uhad Uhad
Keyword(s):  
Working Hours ◽  
Additional Cost ◽  
Time Cost ◽  
Trade Off ◽  
Acceleration Time ◽  
The Cost

In analyzing the comparison of the cost of acceleration with the acceleration time used by the method Time Cost Trade Off. The analysis is done by using / shortening (crashing) time of implementation by using an alternative to increase working hours (overtime) for 3 hours. With apply the TCTO analysis, the implementation of the construction of the Sei Hanyu Bridge project after its duration performed calculations using the crash duration method, it was found that the time needed to accelerate the construction of the Sei Hanyu Bridge in Kapuas Regency for 1038 calendar days(148 weeks), can be accelerated 44 days from the original planning 1082 calendar days (155 weeks). With the acceleration of the completion of the construction of the Sei Hanyu bridge in Kapuas Regency, an additional fee of Rp. 175,160,710.43 is required with an additional cost (cost slope) of Rp 3,980,925.24 per day for 44 days, so the optimal costs needed to accelerate the construction of the Sei Hanyu bridge in Kapuas Regency was Rp. 45,102,729,928.11 originally planned for Rp.44,927,569,217.68

Hydraulic balancing strategies: A case study of radiator-based central heating system

2018 ◽  
Vol 39 (3) ◽  
pp. 249-262 ◽  
Author(s):  
Edoardo A Piana ◽  
Benedetta Grassi ◽  
Francesco Bianchi ◽  
Cristian Pedrotti
Keyword(s):  
Distribution System ◽  
Heating System ◽  
Simple Calculation ◽  
Practical Application ◽  
Central Heating ◽  
Cost Impact ◽  
The Common ◽  
The Cost ◽  
The Impact

With energy efficiency regulations coming into force, the retrofitting of existing plants has become mandatory in many European countries. The application of thermostatic radiator valves is a cheap, effective solution in case of radiator-based hydronic plants, but it requires the distribution system to be re-engineered and, in some situations, further adjusting devices to be added. In this paper, the behaviour of a vertical distribution heating system has been simulated with the aim of analysing the outcome of different hydraulic balancing strategies and proposing a method to identify the most suitable option. The common problem of noisy valves has been examined and the cost impact of the different solutions has also been considered. Practical application: This paper applies simple calculation tools to explore the impact of different balancing solutions to a real building, using an approach that could valuably assist the practitioner in the decision process.

scholarly journals Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models

2021 ◽  
Author(s):  
Magnus Jacobsen ◽  
Mikkel H. Sørensen ◽  
Leon Derczynski
Keyword(s):  
Machine Learning ◽  
Peak Performance ◽  
Optimal Size ◽  
Trade Off ◽  
Part Of Speech Tagging ◽  
Part Of Speech ◽  
Pos Tagger ◽  
The Cost ◽  
Speech Tagging

Improvement in machine learning-based NLP performance are often presented with bigger models and more complex code. This presents a trade-off: better scores come at the cost of larger tools; bigger models tend to require more during training and inference time. We present multiple methods for measuring the size of a model, and for comparing this with the model's performance.In a case study over part-of-speech tagging, we then apply these techniques to taggers for eight languages and present a novel analysis identifying which taggers are size-performance optimal. Results indicate that some classical taggers place on the size-performance skyline across languages. Further, although the deep models have highest performance for multiple scores, it is often not the most complex of these that reach peak performance.

Perancangan dan Pembuatan Alat Bantu Meja Putar untuk Mesin Cnc 4 Axis

2016 ◽  
Vol 10 (2) ◽  
pp. 162-171
Author(s):  
Hafid Hafid ◽  
Tatang Sutisna
Keyword(s):  
Processing Time ◽  
Rotary Table ◽  
Engineering Process ◽  
Cnc Machine ◽  
Economical Analysis ◽  
Machining Center ◽  
Design And Manufacturing ◽  
The Cost ◽  
Productivity And Competitiveness

The design and manufacturing of the rotary table with the specification Ø 170 mm (6 inches) for CNC machine 4 axis has been done. The objective of manufacturing a rotary table is to increase the efficiency of CNC machine Hardford 4 axis to be above 80% in line machining center CV. IM’s workshop. The engineering methods was taken, consist of: working preparation, manufacturing of working drawing, engineering process, the manufacturing and testing. The prototype has been tested and operated, the resulting of increasing productivity of which were as follows: the process of assembling was increased to be 3 time ( before 1 time) and processing time for a specific case reduced from 5 hours to 3 hours, number of operators for the case of assembling the rotary reduced to 1 person (before 4 persons), safety and security become to be better. The results show increased efficiency of CNC machine Hardford, from under 50% to be above 80%. Based on the economical analysis obtained by the cost of good sold (C.G.S) of the rotary table is IDR 34.060.000. The results presented in this paper is expected to be case study for developing a business of the metal and engineering SMEs domestic to the effort of improving efficiency, quality, productivity and competitiveness in global market.ABSTRAKPerancangan dan pembuatan alat bantu meja putar (rotary table) dengan spesifikasi teknis Ø 170 mm (6 inci) untuk mesin CNC 4 axis telah dilakukan. Tujuan pembuatan rotary table adalah untuk meningkatkan efisiensi mesin CNC Hardford 4 axis di atas 80% pada line machining center Bengkel CV. IM. Metode rancang bangun yang dilakukan, meliputi: persiapan kerja, pembuatan gambar kerja, proses engineering, pembuatan dan uji coba. Prototip tersebut telah diuji coba dan dioperasikan dengan hasil peningkatan produktivitas sebagai berikut: proses pengerjaan bongkar pasang meningkat menjadi 3 kali (sebelumnya 1 kali) dan waktu pengerjaan untuk kasus tertentu berkurang dari 5 jam menjadi 3 jam, jumlah operator untuk kasus bongkar pasang rotary berkurang menjadi 1 orang (sebelumnya 4 orang), keselamatan kerja dan keamanan menjadi lebih baik. Hasil peningkatan berupa efisiensi mesin CNC Hardford 4 axis dari sebelumnya di bawah 50% menjadi di atas 80%. Berdasarkan hasil perhitungan analisis ekonomi diperoleh harga pokok produksi (HPP) alat bantu meja putar adalah sebesar Rp. 34.060.000. Bahasan ini diharapkan menjadi contoh kasus bagi pengembangan usaha IKM logam dan mesin dalam negeri untuk meningkatkan efisiensi, mutu, produktivitas dan keunggulan daya saing di pasar global.Kata kunci: alat bantu meja putar, mesin CNC, harga pokok produksi

Case Study—Failure Analysis of a Multiplexer

2016 ◽  
Author(s):  
Michael Woo ◽  
Marcos Campos ◽  
Luigi Aranda
Keyword(s):  
Failure Analysis ◽  
High Reliability ◽  
Component Failure ◽  
Root Cause ◽  
Knowing That ◽  
Cause Of Failure ◽  
The Cost

Abstract A component failure has the potential to significantly impact the cost, manufacturing schedule, and/or the perceived reliability of a system, especially if the root cause of the failure is not known. A failure analysis is often key to mitigating the effects of a componentlevel failure to a customer or a system; minimizing schedule slips, minimizing related accrued costs to the customer, and allowing for the completion of the system with confidence that the reliability of the product had not been compromised. This case study will show how a detailed and systemic failure analysis was able to determine the exact cause of failure of a multiplexer in a high-reliability system, which allowed the manufacturer to confidently proceed with production knowing that the failure was not a systemic issue, but rather that it was a random “one time” event.

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