scholarly journals Ordering Strategy Analysis of Prefabricated Component Manufacturer in Construction Supply Chain

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Hongxiong Yang ◽  
Jacky K. H. Chung ◽  
Yuhong Chen ◽  
Yifan Pan ◽  
Zhiling Mei ◽  
...  
Keyword(s):  
Supply Chain ◽  
Fitness Function ◽  
Construction Material ◽  
Optimal Order ◽  
Cost Models ◽  
Inventory Cost ◽  
Strategy Analysis ◽  
Individual Fitness ◽  
Eoq Model ◽  
The Individual

Firstly, the characteristics and present situations of the prefabricated construction supply chain are analyzed; inventory cost models for construction material of every phase order, one-off order, and fractionated order are built based on traditional EOQ model and construction supply chain theory. Next, the order decision is represented in binary numbers 0 and 1, in which 0 stands for “no order” and 1 for “order.” The analysis uses the genetic algorithm, sets the objective function, and undergoes testing and assessing the individual fitness function, encoding, decoding, crossover, mutation, and selecting parameter. Moreover, inventory cost of construction supply chain is processed and optimized in Matlab. The research establishes a research paradigm on supply chain management of component manufacturing and materials supply. This study concludes the ordering strategy on construction material, identifies the optimal order points and order batches, and provides recommendations for further research.

Review on Inventory Controlling of Building Materials Supply Chain from Uncertainty Demands in Civil Engineering

2012 ◽  
Vol 174-177 ◽  
pp. 3441-3443
Author(s):  
Bin Yang
Keyword(s):  
Supply Chain ◽  
Building Materials ◽  
Simulated Annealing Algorithm ◽  
Supply And Demand ◽  
Cost Models ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Total Inventory ◽  
Annealing Algorithm ◽  
The Difference

Inventory control is a necessary strategy that enterprises use to offset the effect of uncertainties in manufacturing, supply and demand. Normally, probability distribution is used to analyze the uncertainty problems, however, this analysis can’t be completed with inadequate data, resulting in an increase in inventory costs. The paper establishes inventory cost models of single supply chain member under uncertainty demands and applies Simulated Annealing Algorithm to imitate the models in 52 weeks to seek for the optimal speaking for amount and anew speaking for point so that compares the difference of supply chain total inventory cost and the sufficing rate of order for goods between independently and collaborated controlling strategy in supply chain, and in order to provide the necessary theoretical supports for the enterprises to establish supply chain partnerships and possibly improve the supply chain capability of providing external integration.

The Comparative Study of EOQ Newsboy and Silver-Meal Method for SMEs Business

2014 ◽  
Vol 1044-1045 ◽  
pp. 1807-1811
Author(s):  
Lakkana Ruekkasaem
Keyword(s):  
Optimal Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Eoq Model ◽  
Proper Number ◽  
Newsboy Model ◽  
Optimal Order Quantity ◽  
The Comparative Study ◽  
Ordering Quantity

This study was conducted to determine an appropriate model to be used so that a cleanroom equipment company will be able to order a proper number of various types of products to serve the demand of customers at different periods of time. The case study had high inventory cost due to the fact that it could not order goods accordingly. The research compared the efficiency of Economic Ordering Quantity (EOQ), Newsboy Model and Silver-Meal Method to find the optimal order quantity model for this company. The results of the study indicated that the EOQ model (in case allowing for some inventory shortage) obtained the least inventory cost.

scholarly journals An EOQ Model for Phase Inventory with Induced Demand and Periodic Cycle Time

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Sujit Kumar De ◽  
Shib Sankar Sana ◽  
Adrijit Goswami
Keyword(s):  
Cycle Time ◽  
Optimal Order ◽  
Inventory Problem ◽  
Setup Cost ◽  
Inventory Cost ◽  
Induced Demand ◽  
Eoq Model ◽  
Demand Rate ◽  
Second Shift ◽  
Stock Flow

This paper deals with a stock flow of an inventory problem over induced demand. The inventory is consumed through “core customer” or chain marketing system in an induced environment (inductance) to exhaust all the items of the stock inventory in an indefinite time. The demand rate is depicted due to induced factor which is generated from the same inventory presented nearby. The inventory cycle time is split into several periodic times due to oscillatory feature of the inventory which is called phase inventory. Considering uniform demand, this cycle time splits into two basic parts, namely, “first shift” (phase) and “second shift” (phase). Since the process dampens over time, so the whole inventory will exhaust after few periods. A cost function consisted of inventory cost, setup cost, and loss for induced items is minimized to obtain optimal order quantity and replenishment time. The multivariate lagrange interpolation (MLI) over the average values of the postsensitivity analysis is developed here. Finally, graphical illustrations are made to justify the model.

EOQ Model with Stock-Level Dependent Demand and Different Holding Cost Functions

2017 ◽  
Vol 8 (4) ◽  
pp. 59-75 ◽  
Author(s):  
H.S. Shukla ◽  
R.P. Tripathi ◽  
Neha Sang
Keyword(s):  
Order Approximation ◽  
Optimal Solution ◽  
Optimal Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Stock Level ◽  
Numerical Examples ◽  
Eoq Model ◽  
Holding Cost ◽  
Dependent Demand

This paper presents EOQ (Economic Order Quantity) model with stock- level dependent demand and different types of holding cost function. We show that the total relevant inventory cost per unit time is convex with respect to cycle time. Mathematical models are established to determine optimal order quantity and total relevant inventory cost. Numerical examples are provided for two different models i.e. (i): Instantaneous replenishment with inventory dependent holding cost and (ii) Instantaneous replenishment with quadratic time dependent carrying cost. Numerical examples are provided to illustrate the proposed model. Sensitivity analysis of the optimal solution with respect to the parameters of the system is carried out. The second order approximation is used for finding closed form optimal solution. Mathematica 5.2 software is used to find numerical results.

scholarly journals Single-threshold Image Segmentation Algorithm Based on Improved Bat Algorithm

CONVERTER ◽  
2021 ◽  
pp. 738-747
Author(s):  
Wentan Jiao, Wenqing Chen
Keyword(s):  
Image Segmentation ◽  
Fitness Function ◽  
Bat Algorithm ◽  
Local Optimum ◽  
Variance Method ◽  
Individual Fitness ◽  
Adaptive Parameter ◽  
Logistic Mapping ◽  
The Individual ◽  
Image Segmentation Algorithm

The Improved Bat Algorithm (IBA) is proposed for the image segmentation based on the maximum interclass variance method. Firstly, the principle of image segmentation based on the maximum interclass variance method is explained, and secondly, the bat algorithm is improved by using chaotic logistic mapping to initialize the population to improve the diversity of solutions, using adaptive parameter optimization to avoid falling into local optimum, using Monkey algorithm for individual selection, and finally, the image segmentation function in image segmentation is used as the individual fitness function of the bat algorithm for solving. The simulation experiments show that compared with the bat algorithm and the monkey group algorithm, this algorithm has better segmentation effect under different threshold values.

Supply Chain Quality Management of Magnesium Components: Concept, Examples and Recommendations

2018 ◽  
Vol 941 ◽  
pp. 657-662
Author(s):  
Claudia Kawalla ◽  
Michael Höck ◽  
Mariusz Ligarski
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Automotive Industry ◽  
Quality Management System ◽  
Construction Material ◽  
High Strength ◽  
Roll Casting ◽  
The Individual ◽  
Giving Feedback ◽  
Strip Production

Magnesium components offer an enormous potential to achieve considerable weight savings in the automotive industry. As with any innovative construction material, (e.g. carbon-fiber-reinforced polymer, ultra-high-strength steel) a rigid quality management system needs to be established along the supply chain. For this purpose, the concept of the supply chain quality management is to be introduced for the special case of magnesium components, using the example of the magnesium strip production. By the implementation of the widespread ISO 9001 norm, opportunities can be leveraged by both the creation of upstream, downstream linkages and the defined internal processes to achieve the required and stable quality for the automotive industry. The paper suggests procedures and instructions for process control during the magnesium strip production according to the twin-roll casting technology, giving feedback to the respective production system to avoid insufficient quality. The results serve as a basis for the development of all stages up to the assembly of magnesium components. The individual process stages dependent on the manufacturer should be considered during the procedure.

Implementation of Vendor Managed Inventory (VMI) in Managing Intra Ocular Lenses (IOL) in Eye Care Organization

2015 ◽  
Vol 2 (9) ◽  
pp. 1 ◽  
Author(s):  
Nancy Sharma
Keyword(s):  
Supply Chain ◽  
Operational Efficiency ◽  
Care Organization ◽  
Healthcare Industry ◽  
Vendor Managed Inventory ◽  
Eye Care ◽  
Inventory Cost ◽  
Innovative Strategies ◽  
Industry Hospital

Nowadays healthcare has a completely changed scenario as compared with the early 90’s. As more and more profit generating hospitals are coming in the industry, hospital and healthcare is no longer remains a charitable or philanthropically act. So to be remain in the market and compete within hospitals need to now focus on the different and innovative strategies in every aspect. Supply chain and operations is one of the important key of any organization which directly impact on business and revenue. Vendor Managed inventory is not a new concept but it is not efficiently utilized in service and healthcare industry as of now. Some retail and automobile industries has utilized the concept and also able to reduce the inventory cost with manageable position of stock out and over stocking position. As hospital’s key functioning is to deal with life of patients on day to day so position of material need to be necessarily on right time and right place. This paper is based on the insight of the application of vendor managed inventory in the management of inventory for the IOL (Intra ocular lenses) that is used for the surgeries in the eye hospital. We will also study the questionnaire on the acceptability of the concept of vendor managed inventory in the hospital that will help to assess the acceptability of VMI in hospital and healthcare industry. Also a framework matrix is designed to understand the relation of VMI with the revenue earning and smoothening of operational efficiency.

scholarly journals Determination of Network Configuration Considering Inventory Cost in a Supply Chain

2014 ◽  
Vol 12 (4) ◽  
pp. 674-683 ◽  
Author(s):  
N.M. Hernández González ◽  
A. Álvarez Socarrás ◽  
M. Mata Pérez
Keyword(s):  
Supply Chain ◽  
Network Configuration ◽  
Inventory Cost

An analysis of supply chain issues relating to information flow during the automotive product development

2015 ◽  
Vol 26 (8) ◽  
pp. 1158-1176 ◽  
Author(s):  
Nikolaos Madenas ◽  
Ashutosh Tiwari ◽  
Christopher Turner ◽  
Sophie Peachey
Keyword(s):  
Supply Chain ◽  
Product Development ◽  
Information Flow ◽  
Empirical Studies ◽  
Multinational Companies ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Inadequate Information ◽  
The Individual ◽  
Number Of Customers

Purpose – The purpose of this paper is to identify measure and prioritise the perceived importance of supply chain issues within the automotive industry related to information flow during product development (PD). Design/methodology/approach – This study analyses empirical data captured from semi-structure interviews with 15 multinational companies operating in the automotive sector. Data collected are analysed using a standard methodology identified from the literature. The individual issues captured are classified against 14 clusters that represent the core and the fundamental supply chain issues of information flow. Findings – This study showed that half of the issues captured are related to the inadequate information systems used. The cluster that had the majority of individual issues is related to suppliers that are not directly connected with their customers through an enterprise system. However it was identified that two fundamental clusters justify the decision of not being directly connected. Implementing and maintaining multiple enterprise systems can be a big overhead for multinational companies working with a high number of customers. Originality/value – Although several studies have proved the benefits that can be obtained through supply chain collaboration, there are relatively little empirical studies that seek to explore the understanding of supply chain issues in regards to information flow especially during PD. By identifying, measuring and prioritising the importance of supply chain issues this study provides researchers and practitioners guidance in developing better tools and defining more efficient processes.

Sign in / Sign up

Export Citation Format

Share Document