Next Article in Journal
Atomization of Gel Fuels with Solid Particle Addition Utilizing an Air Atomizing Nozzle
Next Article in Special Issue
Effects of Carbon-Emission and Setup Cost Reduction in a Sustainable Electrical Energy Supply Chain Inventory System
Previous Article in Journal
An Effective Ground Fault Location Scheme Using Unsynchronized Data for Multi-Terminal Lines
Open AccessArticle

Effect of Energy and Failure Rate in a Multi-Item Smart Production System

Department of Industrial & Management Engineering, Hanyang University, Ansan, Gyeonggi-do 155 88, Korea
*
Author to whom correspondence should be addressed.
Energies 2018, 11(11), 2958; https://doi.org/10.3390/en11112958
Received: 6 October 2018 / Revised: 20 October 2018 / Accepted: 23 October 2018 / Published: 30 October 2018
To form a smart production system, the effect of energy and machines’ failure rate plays an important role. The main issue is to make a smart production system for complex products that the system may produce several defective items during a long-run production process with an unusual amount of energy consumption. The aim of the model is to obtain the optimum amount of smart lot, the production rate, and the failure rate under the effect of energy. This study contains a multi-item economic imperfect production lot size energy model considering a failure rate as a system design variable under a budget and a space constraint. The model assumes an inspection cost to ensure product’s quality under perfect energy consumption. Failure rate and smart production rate dependent development cost under energy consumption are considered, i.e., lower values of failure rate give higher values of development cost and vice versa under the effect of proper utilization of energy. The manufacturing system moves from in-control state to out-of-control state at a random time. The theory of nonlinear optimization (Kuhn–Tucker method) is employed to solve the model. There is a lemma to obtain the global optimal solution for the model. Two numerical examples, graphical representations, and sensitivity analysis of key parameters are given to illustrate the model. View Full-Text
Keywords: energy; multi-item smart production; system reliability; failure rate; variable development cost energy; multi-item smart production; system reliability; failure rate; variable development cost
Show Figures

Figure 1

MDPI and ACS Style

Sarkar, M.; Sarkar, B.; Iqbal, M.W. Effect of Energy and Failure Rate in a Multi-Item Smart Production System. Energies 2018, 11, 2958.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop