A bi-objective model for integrated scheduling of production and distribution in a supply chain with order release date restrictions

2016 ◽  
Vol 40 ◽  
pp. 105-118 ◽  
Author(s):  
Negin Jamili ◽  
Mohammad Ranjbar ◽  
Majid Salari
Keyword(s):  
Supply Chain ◽  
Release Date ◽  
Integrated Scheduling ◽  
Order Release ◽  
Production And Distribution ◽  
Objective Model

scholarly journals Integrated Scheduling of Production and Distribution with Release Dates and Capacitated Deliveries

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Xueling Zhong ◽  
Dakui Jiang
Keyword(s):  
Arrival Time ◽  
Exact Algorithm ◽  
Distribution Model ◽  
Objective Functions ◽  
Release Date ◽  
Worst Case ◽  
Integrated Scheduling ◽  
Worst Case Ratio ◽  
Production And Distribution ◽  
Distribution Cost

This paper investigates an integrated scheduling of production and distribution model in a supply chain consisting of a single machine, a customer, and a sufficient number of homogeneous capacitated vehicles. In this model, the customer places a set of orders, each of which has a given release date. All orders are first processed nonpreemptively on the machine and then batch delivered to the customer. Two variations of the model with different objective functions are studied: one is to minimize the arrival time of the last order plus total distribution cost and the other is to minimize total arrival time of the orders plus total distribution cost. For the former one, we provide a polynomial-time exact algorithm. For the latter one, due to its NP-hard property, we provide a heuristic with a worst-case ratio bound of 2.

scholarly journals Evaluating the Economic Viability of Agricultural Pellets to Supplement the Current Global Wood Pellets Supply for Bioenergy Production

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2263
Author(s):  
Mahmood Ebadian ◽  
Shahab Sokhansanj ◽  
David Lee ◽  
Alyssa Klein ◽  
Lawrence Townley-Smith
Keyword(s):  
Supply Chain ◽  
Western Europe ◽  
Small Scale ◽  
Economic Activities ◽  
Wood Pellets ◽  
Logistics System ◽  
Global Marketplace ◽  
Biomass Logistics ◽  
Production And Distribution ◽  
The Cost

In this study, an inter-continental agricultural pellet supply chain is modeled, and the production cost and price of agricultural pellets are estimated and compared against the recent cost and price of wood pellets in the global marketplace. The inter-continental supply chain is verified and validated using an integration of an interactive mapping application and a simulation platform. The integrated model is applied to a case study in which agricultural pellets are produced in six locations in Canada and shipped and discharged at the three major ports in Western Europe. The cost of agricultural pellets in the six locations is estimated to be in the range of EUR 92–95/tonne (CAD 138–142/tonne), which is comparable with the recent cost of wood pellets produced in small-scale pellet plants (EUR 99–109/tonne). The average agricultural pellet price shipped from the six plants to the three ports in Western Europe is estimated to be in a range of EUR 183–204 (CAD 274–305/tonne), 29–42% more expensive that the average recent price of wood pellets (EUR 143/tonne) at the same ports. There are several potential areas in the agricultural pellet supply chains that can reduce the pellet production and distribution costs in the mid and long terms, making them affordable supplement to the existing wood pellet markets. Potential economic activities generated by the production of pellets in farm communities can be significant. The generated annual revenue in the biomass logistics system in all six locations is estimated to be about CAD 21.80 million. In addition, the logistics equipment fleet needs 176 local operators with a potential annual income of CAD 2.18 million.

scholarly journals Cross-Docking Operations for Supply Chain Logistics in JIT Production and Distribution Systems

1970 ◽  
Vol 8 (1-2) ◽  
pp. 219-230
Author(s):  
Gyan Bahadur Thapa ◽  
Tanka Nath Dhamala ◽  
Shankar Raj Pant
Keyword(s):  
Supply Chain ◽  
Distribution Systems ◽  
Operation Time ◽  
Just In Time ◽  
Sequencing Problem ◽  
Supply Chain Logistics ◽  
Research Areas ◽  
Cross Docking ◽  
Production And Distribution ◽  
Multi Level

The multi-level production problem is one of the challenging research areas in supply chain management. We present brief literature review and mathematical models of multi-level just-in-time sequencing problem with a view of cross-docking approach for supply chain logistics. Describing cross-docking operations, we propose a mathematical model for the cross-docking supply chain logistics problem to minimize the operation time as truck sequencing problem. We establish a proposition as the synthesis of the production and logistics.Key Words: Just-in-time; Supply chain; Logistics; Cross-dock; Operation timeDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5114Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 219-230Uploaded Date: 20 July, 2011

Coordinating lot sizing and integrated production and distribution scheduling with batch delivery and holding cost

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maedeh Bank ◽  
Mohammad Mahdavi Mazdeh ◽  
Mahdi Heydari ◽  
Ebrahim Teimoury
Keyword(s):  
Supply Chain ◽  
Lot Sizing ◽  
Mixed Integer ◽  
Time Interval ◽  
Content Type ◽  
Integrated Production ◽  
Holding Costs ◽  
Integrated Production And Distribution ◽  
Distribution Scheduling ◽  
Production And Distribution

PurposeThe aim of this paper is to present a method for finding the optimum balance between sequence-dependent setup costs, holding costs, delivery costs and delay penalties in an integrated production–distribution system with lot sizing decisions.Design/methodology/approachTwo mixed integer linear programming models and an optimality property are proposed for the problem. Since the problem is NP-hard, a genetic algorithm reinforced with a heuristic is developed for solving the model in large-scale settings. The algorithm parameters are tuned using the Taguchi method.FindingsThe results obtained on randomly generated instances reveal a performance advantage for the proposed algorithm; it is shown that lot sizing can reduce the average cost of the supply chain up to 11.8%. Furthermore, the effects of different parameters and factors of the proposed model on supply chain costs are examined through a sensitivity analysis.Originality/valueAlthough integrated production and distribution scheduling in make-to-order industries has received a great deal of attention from researchers, most researchers in this area have treated each order as a job processed in an uninterrupted time interval, and no temporary holding costs are assumed. Even among the few studies where temporary holding costs are taken into consideration, none has examined the effect of splitting an order at the production stage (lot sizing) and the possibility of reducing costs through splitting. The present study is the first to take holding costs into consideration while incorporating lot sizing decisions in the operational production and distribution problem.

scholarly journals Reengineering of supply chain management integrated scheduling processes

2018 ◽  
Vol 193 ◽  
pp. 05064 ◽  
Author(s):  
Ekaterina Kuleshova ◽  
Anastasia Levina ◽  
Rustam Esedulaev
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Process ◽  
Business Processes ◽  
Current Practice ◽  
Oil And Gas ◽  
Chain Management ◽  
Integrated Scheduling ◽  
Data Flows

The paper describes the principle of the reengineering of supply chain management integrated scheduling processes in order to increase in efficiency of business process and decrease the decision-making time at collision of plan-fact deviations. The basic concept of business-processes reengineering is analyzed. The experience of reengineering of supply chain integrated scheduling business processes for the oil and gas branch is presented. The bottlenecks of the current practice were revealed. The purpose of this paper is to carry out recommendations for improving business processes based on an analysis of the current realization of the process, his provision with information systems and data flows.

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