Re-Machining Parameter Optimization Using Firefly Algorithms

2013 ◽  
pp. 186-202
Keyword(s):  
Experimental Study ◽  
Parameter Optimization ◽  
Firefly Algorithm ◽  
Machining Parameters ◽  
Future Trends ◽  
Research Directions ◽  
Novel Approach ◽  
Machining Parameter ◽  
Selection Of

This chapter presents a novel approach for identification of the re-machining parameters. The chapter starts with an introduction about the significant role of re-machining at the reprocessing stage. Then, the related studies dealing with the selection of optimum machining parameters are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., firefly algorithm) can be found in the proposed methodology section. Right after this, an illustrative example is detailed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

Reprocessing Cell Layout Optimization Using Hybrid Ant Systems

2013 ◽  
pp. 171-185
Keyword(s):  
Experimental Study ◽  
Material Handling ◽  
Layout Design ◽  
Future Trends ◽  
Ant System ◽  
Research Directions ◽  
Handling Cost ◽  
Material Handling Cost ◽  
Ant Systems

This chapter describes the role of reprocessing cell layout design in reducing the material handling cost at the used product post-disassembly stage. The chapter begins with the discussion of material handling cost issues encountered at the reusable parts reprocessing phase. Then, related studies in the literature are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the hybrid ant system) can be found in the proposed methodology section. Right after this, an illustrative numerical example and the corresponding comparison study are detailed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

Complex Adaptive Logistics System Optimization Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 223-236
Keyword(s):  
Experimental Study ◽  
Extreme Events ◽  
System Optimization ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Logistics System ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Complex Adaptive

This chapter examines how to control the extreme events happening when a complex adaptive logistics system is implemented in used product remanufacturing, particularly in the used products transhipment stage. The chapter starts with an introduction about the necessity of introducing the complex adaptive logistics system. Then, the related studies dealing with similar issues are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, an illustrative simulation example is discussed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusions drawn in the last section close this chapter.

Batch Order Picking Optimization Using Ant System

2013 ◽  
pp. 204-222
Keyword(s):  
Experimental Study ◽  
Product Distribution ◽  
Order Picking ◽  
Future Trends ◽  
Ant System ◽  
Problem Statement ◽  
Research Directions ◽  
Service Strategy ◽  
Sales Channels ◽  
The Future

This chapter concentrates on the batch order picking for remanufactured product distribution. The chapter starts with an introduction about the issue of secondary sales channels that arise in the remanufactured product redistribution phase and the delivery-oriented service strategy in remarketing. Then, the related studies in the literature are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., ant system and MAX-MIN ant system) can be found in the proposed methodology section. Right after this, an illustrative numerical example is discussed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

Used Products Return Pattern Analysis Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 38-58
Keyword(s):  
Experimental Study ◽  
Service Quality ◽  
Pattern Analysis ◽  
End Users ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Problem Statement ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling

This chapter examines the used products return service quality perceived by the end users and their corresponding willingness-to-return with respect to the used products in their possession. The chapter starts with an introduction about the issue of return quantity encountered at the used product collection stage. Then, related studies dealing with returns quantity are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, three simulations, with each one linked to a specific used products return scenario, are conducted in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

scholarly journals Intelligent Selection of Machining Parameters in Multipass Turnings Using Firefly Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Abderrahim Belloufi ◽  
Mekki Assas ◽  
Imane Rezgui
Keyword(s):  
Production Cost ◽  
Firefly Algorithm ◽  
Optimization Technique ◽  
Cutting Parameters ◽  
Machining Parameters ◽  
Metal Parts ◽  
Multipass Turning ◽  
Optimal Cutting Parameters ◽  
Selection Of

Determination of optimal cutting parameters is one of the most important elements in any process planning of metal parts. In this paper, a new optimization technique, firefly algorithm, is used for determining the machining parameters in a multipass turning operation model. The objective considered is minimization of production cost under a set of machining constraints. The optimization is carried out using firefly algorithm. An application example is presented and solved to illustrate the effectiveness of the presented algorithm.

scholarly journals Developmental and Experimental Study of Rotary Ultrasonic drilling process

2021 ◽  
Vol 9 (8) ◽  
pp. 2475-2478
Author(s):  
Arpit Srivastava
Keyword(s):  
Taguchi Method ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Drilling Process ◽  
Machining Parameters ◽  
Ultrasonic Drilling ◽  
Machining Parameter ◽  
Rotary Ultrasonic Drilling ◽  
Selection Of

Abstract: The proper selection of machining conditions and machining parameter is an important aspect, before going to machine a brittle material by rotary ultrasonic drilling process Because these conditions will determine such important characteristics as; Material removal rate (MRR) and Surface roughness (SR). The purpose of this work is to determine the optimal values of machining parameters of rotary ultrasonic drilling process. The work has been based on the effect of three design factors: Tool feed rate, vibration frequency and grain size of abrasive particle on such characteristic like material removal rate (MRR). This work has been done by means of the technique of design of experiment (DOE), which provides us to perform the above-mentioned analysis with small number of experiments. In this work, a L9 orthogonal array is used to design the experiment. The adequate selection of machining parameters is very important in manufacturing system, because these parameters determine the surface quality and dimensional accuracy of the manufactured part. The optimal setting of the parameters are determined through experiments planned, conducted and analyzed using the Taguchi method. Keywords: RUSM, Material removal rate, Drilling, Taguchi method

Used Product Collection Optimization Using Genetic Algorithms

2013 ◽  
pp. 59-74
Keyword(s):  
Experimental Study ◽  
Genetic Algorithms ◽  
Fuel Consumption ◽  
Future Trends ◽  
Problem Statement ◽  
Research Directions ◽  
Study Section ◽  
The Future ◽  
Consumption Constraints

This chapter addresses the collected used products transportation issue (i.e., used products are first transported from a set of collection points to a sorting centre and then returned to a facility for remanufacturing). The chapter starts with an introduction about the importance of transporting these collected returns in used products remanufacturing. Then, the related studies dealing with this issue are discussed in the background section. Next, the focal problem of this chapter (by considering timing and fuel consumption constraints) is stated in the problem statement section. A detailed description about the authors’ approach (i.e., first, formulating the targeted problem as a multiple travelling salesmen problem and then employing genetic algorithms to solve it) can be found in the proposed methodology section. Right after this, an illustrative example is explained in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

Clinician styles of care: Transforming patient care at the intersection of leadership and medicine

2013 ◽  
Vol 19 (11) ◽  
pp. 1459-1470 ◽  
Author(s):  
Ho P Huynh ◽  
Kate Sweeny
Keyword(s):  
Transformational Leadership ◽  
Health Behavior ◽  
Health Behaviors ◽  
Patient Care ◽  
Patient Communication ◽  
Future Research ◽  
Research Directions ◽  
Novel Approach ◽  
Future Research Directions

A key role of clinicians is to motivate their patients to initiate and maintain beneficial health behaviors. This article integrates research on transformational leadership, clinician–patient communication, and health behavior to introduce a novel approach to understanding and improving clinicians’ effectiveness as motivators. We describe three dominant clinician styles or patterned approaches to patient care that derive from leadership theory (in order of least to most effective): laissez-faire, transactional, and transformational. Additionally, we suggest potential mediators and effects of the transformational style of care. Finally, we discuss future research directions for the study of clinician styles of care.

Parametric Optimization of Some Non-Conventional Machining Processes Using MOORA Method

2015 ◽  
Vol 20 ◽  
pp. 19-40 ◽  
Author(s):  
Akhtar Khan ◽  
Kalipada Maity
Keyword(s):  
Optimization Methods ◽  
Machining Parameters ◽  
Machining Processes ◽  
Multi Objective ◽  
Manufacturing Techniques ◽  
Input Variables ◽  
Moora Method ◽  
Machining Parameter ◽  
Conventional Machining ◽  
Selection Of

Non-conventional manufacturing techniques are most widely used in industries in order to achieve high accuracy and desirable product quality. Therefore, the selection of an appropriate machining parameter has become a crucial job before starting the operation. Several optimization methods are available to resolve the upstairs situation. The current study explores a novel technique namely multi-objective optimization on the basis of ratio analysis (MOORA) to solve different multi-objective problems that are encountered in the real-time manufacturing industries. This study focuses on the application of MOORA method for solving some non-conventional machining processes that have multiple criteria problems. Wire-Electric Discharge Machining (WEDM), Plasma Arc Cutting (PAC), Electro Chemical Micro Machining (ECMM), Electro Chemical Machining (ECM), Abrasive Jet Machining (AJM), Abrasive Water Jet Machining (AWJM), Ultrasonic Machining (USM), Laser Beam Machining (LBM) and Laser cutting process are the major attentions in the current study. Total nine NTM multi-criteria problems which include selection of proper machining parameters have been studied. The optimal settings of input variables obtained by using MOORA method nearly tie with those derived by the earlier investigators.

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