scholarly journals Leagile supply chain network design through a dynamic two-phase optimization in view of Order Penetration Point

2020 ◽  
Author(s):  
Masoud Rabbani ◽  
Soroush Aghamohamadi Bosjin ◽  
Neda Manavizadeh
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Agile Manufacturing ◽  
Service Level ◽  
Second Phase ◽  
Supply Chain Network ◽  
Industrial Case Study ◽  
Total Cost ◽  
Proposed Model ◽  
Customer Service Level

In the contemporary world, combining the concept of agile and lean manufacturing (LM) is one of the most strategic and appealing concerns in the industrial environments. In this paper, a new Leagile structure is proposed for a supply chain. This research covers long term and mid-term horizon by designing a supply chain network up to the order penetration point (OPP) and final assembly and sale planning respectively. The problem is programmed in two phases. First, a bi-objective optimization is developed to minimize the total cost related with LM. In the second phase, the total cost and the customer service level (CSL) are considered as the agile manufacturing (AM) architecture. In the proposed model, a utility function is applied to set balance between the price and customer satisfaction. In addition, a robust credibility-based fuzzy programming (RCFP) is developed to handle uncertainty of the first phase. The proposed model and the solution method are implemented for a real industrial case study to show the applicability and usefulness of this study. According to the results, improving the customer service level can enhance the total cost of the second phase meaning that customer responsiveness price is too high for the proposed system.

scholarly journals Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 211
Author(s):  
Alia Al Sadawi ◽  
Abdulrahim Shamayleh ◽  
Malick Ndiaye
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Service Level Agreement ◽  
Service Level ◽  
Financial Data ◽  
Model Parameters ◽  
Total Cost ◽  
Customer Service Level

The financial data supply chain is vital to the economy, especially for banks. It affects their customer service level, therefore, it is crucial to manage the scheduling of the financial data supply chain to elevate the efficiency of banking sectors’ performance. The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. The developed algorithm proved effective by testing it on an illustrative network. Also, a sensitivity analysis is conducted by varying the model parameters for networks with different sizes and complexities to study their impact on the total cost and the problem under study.

scholarly journals A literature review on multi-echelon inventory management: the case of pharmaceutical supply chain

2018 ◽  
Vol 200 ◽  
pp. 00013 ◽  
Author(s):  
Nouçaiba Sbai ◽  
Abdelaziz Berrado
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Inventory Management ◽  
Raw Materials ◽  
Integrated Approach ◽  
Service Level ◽  
Pharmaceutical Products ◽  
Management Problem ◽  
Pharmaceutical Supply Chain ◽  
Customer Service Level

Inventory management remains a key challenge in supply chain management. Many companies recognize the benefits of a good inventory management system. An effective inventory management helps reaching a high customer service level while dealing with demand variability. In a complex supply chain network where inventories are found across the entire system as raw materials or finished products, the need for an integrated approach for managing inventory had become crucial. Modelling the system as a multi-echelon inventory system allows to consider all the factors related to inventory optimization. On the other hand, the high criticality of the pharmaceutical products makes the need for a sophisticated supply chain inventory management essential. The implementation of the multi-echelon inventory management in such supply chains helps keeping the stock of pharmaceutical products available at the different installations. This paper provides an insight into the multi-echelon inventory management problem, especially in the pharmaceutical supply chain. A classification of several multi-echelon inventory systems according to a set of criteria is provided. A synthesis of multiple multi-echelon pharmaceutical supply chain problems is elaborated.

scholarly journals Optimal Supply Chain Network with Multi-Echelon

2019 ◽  
Vol 7 (2) ◽  
pp. 102-115
Author(s):  
Zaher Hamad Alsalem ◽  
Ramkumar Harikrishnakumar ◽  
Vatsal Maru ◽  
Krishna Krishnan
Keyword(s):  
Supply Chain ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Supply Chain Network ◽  
Objective Functions ◽  
Distribution Centers ◽  
Single Product ◽  
Study Objective ◽  
Total Cost ◽  
Customer Service Level

The study of the effect of redistribution strategy and aggregation, on a multi-echelon supply chain network by managing demand volatility is discussed in this research. For this an operational supply chain design is considered. Multi-echelon network consisting of manufacturing plants, distribution centers, warehouses, and retailers is used to develop the case study. Aggregation strategy was analyzed in the context of single product and multi-product for a multi-period production problem under demand uncertainty. Product sourcing between echelons and distribution strategies are considered for the study. Objective was to use the redistribution strategy to optimize the objective functions for the network. The objective functions include minimization of total cost, minimization of overage and stock-out conditions, and maximization of the customer service level. The total cost function includes product flow, transportation cost and distance cost. The mathematical formulation is carried out in Mixed Integer Linear Programming (MILP) with the help of Generic Algebraic Modeling System (GAMS). Problem formulation considers three type of demand based on volatility and uncertainty cases as high, medium, and low. The research is divided into three main phases to discuss an optimal multi-echelon supply chain network for single product using aggregation strategy.

scholarly journals Risk Management in Supply Chain Management: Case Study of a Brazilian Automotive Distribution Process

2015 ◽  
Vol 7 (5) ◽  
pp. 109 ◽  
Author(s):  
Diego A Wolfs ◽  
Franco Takakura ◽  
Maysa Rezende ◽  
Mauro Vivaldini ◽  
Pedro Domingos Antoniolli
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Service ◽  
Product Distribution ◽  
Service Level ◽  
Added Value ◽  
Chain Management ◽  
Customer Service Level ◽  
Distribution Process ◽  
Management Case Study

<p>Globalisation requires from companies greater flexibility and adaptability of its internal processes, to allow them be aligned to market requirements. This flexibility results in new forms of relationships between partners, supply chains. For these chains differentiate themselves from their competitors, they should add value to products and services that they deliver to the end customer, while being profitable from the standpoint of its processes and operations. In this sense, would be needed effective supply chain management, which is constituted by collaboration and cooperation among partners, strategic and processes integration, to result in a profitable operation, and products and services with added value to the customer. Additionally, because logistics is a key element for the integration and collaboration among SC members, and due the fact that, depending of the scope of these chains, there are potentially more risks happening, which may have negative impacts on the customer service level, and consequently, loss of effectiveness of their logistics processes. This study aims to analyze the risks in a product distribution process in the Brazilian automotive sector, considering the operations performed by a logistics operator of this automaker.</p><strong>Keywords: </strong>Automotive Industry; Logistics Operator; Supply Chain; Supply Chain Management; Risks Management.

Supply Chain Network Design of Ethanol in Thailand

2015 ◽  
Vol 781 ◽  
pp. 647-650
Author(s):  
Rojanee Homchalee ◽  
Weerapat Sessomboon
Keyword(s):  
Supply Chain ◽  
Production Capacity ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Allocation Model ◽  
Total Cost ◽  
Location Allocation ◽  
Proposed Model ◽  
Direct Distribution

The proposed model is location-allocation model developed to design and manage the plants-to-customers ethanol supply chain in Thailand with the objective to minimize the total cost. The results showed that Thailand should have only one ethanol export depot and central depot located along wharfs in Samut Prakan province and along the highway in Non Sung district, Nakhon Ratchasima province, respectively. This model also provided the solutions on opening and expanding of production capacity of ethanol plants over time and appropriate ethanol allocation both of direct distribution and through the central depot for long term (2012-2021).

scholarly journals An Agent-Based Model Driven Decision Support System for Reactive Aggregate Production Scheduling in the Green Coffee Supply Chain

2019 ◽  
Vol 9 (22) ◽  
pp. 4903
Author(s):  
María Pérez-Salazar ◽  
Alberto Aguilar-Lasserre ◽  
Miguel Cedillo-Campos ◽  
Rubén Posada-Gómez ◽  
Marco del Moral-Argumedo ◽  
...  
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Customer Service ◽  
Service Level ◽  
Production Plan ◽  
Agent Based ◽  
Model Driven ◽  
Demand Pattern ◽  
Customer Service Level ◽  
Demand Patterns

The aim of this paper is to contribute to the thread of research regarding the need for logistic systems for planning and scheduling/rescheduling within the agro-industry. To this end, an agent-based model driven decision support system for the agri-food supply chain is presented. Inputs in this research are taken from a case example of a Mexican green coffee supply chain. In this context, the decision support agent serves the purposes of deriving useful knowledge to accomplish (i) the decision regarding the estimation of Cherry coffee yield obtained at the coffee plantation, and the Parchment coffee sample verification decision, using fuzzy logic involving an inference engine with IF-THEN type rules; (ii) the production plan establishment decision, using a decision-making rule approach based upon the coupling of IF-THEN fuzzy inference rules and equation-based representation by means of mixed integer programming with the aim to maximize customer service level; and (iii) the production plan update decision using mathematical equations once the customer service level falls below the expected level. Three scenarios of demand patterns were considered to conduct the experiments: increasing, unimodal and decreasing. We found that the input inventory and output inventory vary similar over time for the unimodal demand pattern, not the case for both the increasing and decreasing demand patterns. For the decreasing demand pattern, ten tardy orders for the initial production schedule, an 88% service level, and nineteen tardy orders from the estimated production results, a 77% service level. This value falls below the expected level. Consequently, the updated aggregate production schedule resulted in ten tardy orders and an 88% service level.

Optimizing Service Parts Inventory in a Multiechelon, Multi-Item Supply Chain with Time-Based Customer Service-Level Agreements

2007 ◽  
Vol 55 (2) ◽  
pp. 303-318 ◽  
Author(s):  
Kathryn E. Caggiano ◽  
Peter L. Jackson ◽  
John A. Muckstadt ◽  
James A. Rappold
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Service Level ◽  
Service Level Agreements ◽  
Service Parts ◽  
Customer Service Level
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