scholarly journals A Two-Stage DSS to Evaluate Optimal Locations for Bioenergy Facilities

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 968
Author(s):  
Sam Van Holsbeeck ◽  
Sättar Ezzati ◽  
Dominik Röser ◽  
Mark Brown
Keyword(s):  
Supply Chain ◽  
Biomass Conversion ◽  
Cost Model ◽  
Forest Biomass ◽  
Transportation Cost ◽  
Cost Effective ◽  
Transport Cost ◽  
Two Stage ◽  
Fuel Price ◽  
Facility Locations

Research Highlights: A set of 128 potential bioenergy facility locations is established and evaluated based on the transport cost to select optimal locations. Background and Objectives: The identification of optimal facility locations to process recovered forest biomass is an important decision in designing a bioenergy supply chain at the strategic planning level. The result of this analysis can affect supply chain costs and the overall efficiency of the network, due to the low density and dispersed nature of forest biomass and the high costs associated with its logistics operations. In this study, we develop a two-stage decision support system to identify the optimal site locations for forest biomass conversion based on biomass availability, transport distance and cost. Materials and Methods: In the first stage, a GIS-based analysis is designed to identify strategic locations of potential bioenergy sites. The second stage evaluates the most cost-effective locations individually using a transportation cost model, based on the results from stage one. The sensitivity of inputs, such as maximum allowable transport cost, the distance of transport and their relations to the profit balance, and changes in fuel price are tested. The method is applied to a real case study in the state of Queensland, Australia. Results and Conclusions: The GIS analysis resulted in 128 strategic candidate locations being suggested for bioenergy conversion sites. The logistics analysis estimated the optimal cost and transportation distance of each one of the locations and ranked them according to the overall performance between capacities of 5 and 100 MW.

Replenishment decision and coordination contract in cluster supply chain

2019 ◽  
Vol 119 (6) ◽  
pp. 1374-1399 ◽  
Author(s):  
Bo Yan ◽  
Xiaoxu Chen ◽  
Yanping Liu ◽  
Chang Xia
Keyword(s):  
Supply Chain ◽  
Transportation Cost ◽  
Revenue Sharing ◽  
Third Party ◽  
Transport Cost ◽  
Content Type ◽  
Cost Factor ◽  
Revenue Sharing Contract ◽  
Coordination Contract ◽  
Milk Run

Purpose The cluster supply chain is widely used in the professional towns in China, and improves the competitiveness of small and medium enterprises through integrating the supply chain with the industrial cluster. The paper aims to discuss this issue. Design/methodology/approach This paper studies a cluster supply chain under vendor managed inventory (VMI) system, which includes vendors, third-party logistics (TPL) enterprises and retail enterprises, and aims to study the replenishment decisions and coordination contracts in the supply chain. The economic order quantity model is applied to analyze the influence of marginal transportation cost factor under two replenishment modes – direct delivery and milk-run delivery, in order to find out the optimal replenishment decisions corresponding to different marginal transportation cost factors. And then, the revenue sharing contract is used to identify the change of profits of enterprises in the supply chain before and after the coordination contract. Findings It is concluded that the marginal transportation cost factor is an important factor influencing the replenishment decision especially in milk-run delivery, and the introduction of the revenue sharing contract can improve the revenue in the supply chain. Originality/value This is the first study that explores the relationship between a single transport cost and a single transport batch of cluster supply chain in centralized VMI & TPL system. The conclusions of the study have certain theoretical significance for the decision making and coordination of cluster supply chain.

scholarly journals Potential of Rice Industry Biomass as a Renewable Energy Source

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4116 ◽  
Author(s):  
Mofijur ◽  
Mahlia ◽  
Logeswaran ◽  
Anwar ◽  
Silitonga ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Rice Straw ◽  
Rice Husk ◽  
Power Plants ◽  
Transportation Cost ◽  
Cost Effective ◽  
Transport Cost ◽  
Biomass Waste ◽  
Reliable Source ◽  
Main Food Source

Fossil fuel depletion, along with its ever-increasing price and detrimental impact on the environment, has urged researchers to look for alternative renewable energy. Of all the options available, biomass presents a very reliable source due to its never-ending supply. As research on various biomasses has grown in recent years, waste from these biomasses has also increased, and it is now time to shift the focus to utilizing these wastes for energy. The current waste management system mainly focuses on open burning and soil incorporation as it is cost-effective; however, these affect the environment. There must be an alternative way, such as to use it for power generation. Rice straw and rice husk are examples of such potential biomass waste. Rice is the main food source for the world, mostly in Asian regions, as most people consume rice daily. This paper reviews factors that impact the implementation of rice-straw-based power plants. Ash content and moisture content are important properties that govern combustion, and these vary with location. Logistical improvements are required to reduce the transport cost of rice husk and rice straw, which is higher than the transportation cost of coal.

scholarly journals Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design

2021 ◽  
Vol 13 (5) ◽  
pp. 2433
Author(s):  
Abdul Salam Khan ◽  
Qazi Salman Khalid ◽  
Khawar Naeem ◽  
Rafiq Ahmad ◽  
Razaullah Khan ◽  
...  
Keyword(s):  
Supply Chain ◽  
Lower Bound ◽  
Closed Loop ◽  
Cost Model ◽  
Transportation Cost ◽  
Total Carbon ◽  
Closed Loop Supply Chain ◽  
Closed Loop Supply Chains ◽  
Cross Docking ◽  
Proposed Model

Closed-loop supply chains (CLSC) are gaining popularity due to their efficiency in addressing economic, environmental, and social concerns. An important point to ponder in the distribution of CLSC is that imperfect refrigeration and bad road conditions may result in product non-conformance during the transit and thus such products are to be returned to the supply node. This may hinder the level of customer satisfaction. This paper presents a sustainable closed-loop supply chain framework coupled with cross-docking subject to product non-conformance. A cost model is proposed to investigate the economic and environmental aspects of such systems. The transportation cost is analyzed in terms of total carbon emissions. A set of metaheuristics are administered to solve the model and a novel lower bound is proposed to relax the complexity of the proposed model. The results of different size problems are compared with the branch and bound approach and the proposed lower bound. The results indicate that the proposed research framework, mathematical model, and heuristic schemes can aid the decision-makers in a closed-loop supply chain context.

Ant Colony Algorithm for Two Stage Supply Chain

2014 ◽  
pp. 143-155
Author(s):  
R. Sridharan ◽  
Vinay V. Panicker
Keyword(s):  
Supply Chain ◽  
Ant Colony Optimization ◽  
Ant Colony Algorithm ◽  
Transportation Cost ◽  
Allocation Problem ◽  
Ant Colony ◽  
Computational Time ◽  
Fixed Cost ◽  
Two Stage ◽  
Transportation Routes

This chapter focuses on the distribution-allocation problem with fixed cost for transportation routes in a two-stage supply chain. The supply chain considered in this research consists of suppliers, distributors and customers. Each transportation route is associated with a fixed charge (or a fixed cost) and a transportation cost per unit transported. The presence of this fixed cost makes the problem difficult to solve. This motivates the researchers to develop heuristics based on non-traditional optimization techniques that can provide near-optimal solutions in reasonable time. In this research, an ant colony optimization based heuristic is proposed to solve a distribution-allocation problem with fixed cost for transportation routes in a two-stage supply chain. The comparative analysis carried out in this study reveals that the solutions obtained using proposed heuristic are better than those obtained using an existing heuristic in terms of total cost and computational time. In addition, special emphasis is placed in developing heuristics based on ant colony optimization for solving supply chain related problems and identifying opportunities for further research in this area.

Automation in Long-Haul Trucking- Current State Overiew, Limitations and Disruptive Effects

2018 ◽  
Vol 4 (03) ◽  
Author(s):  
Pranesh Ram Devaraj ◽  
Joses Jenish Smart ◽  
Dileep Kumar Pagoti
Keyword(s):  
Supply Chain ◽  
Cost Model ◽  
Health Benefits ◽  
Cost Effective ◽  
Transportation Mode ◽  
Total Cost ◽  
Current State ◽  
Product Delivery

Autonomous Trucks does not require wages, no health benefits, doesn’t talk back and will always be on time. Self-automated long-haul trucking is destined to be a part of the supply chain and Operation Managers will need to be prepared. Affecting in some manner their logistics, organizations would want to understand the total cost model of either investing in self-driving trucking or utilizing trucks for shipment of their products. Self-automated trucks will affect a company’s cost and their labor. What may be seen as cost effective and efficient by some will come at a price of lost jobs from the largest and most common occupation, truck driving. Companies will re-examine their transportation mode for product delivery and their employee base.

Two-stage chemical-biological treatment at Thessaloniki greater area WWTP - experiences and potentials

1995 ◽  
Vol 32 (9-10) ◽  
pp. 75-84 ◽  
Author(s):  
A. D. Andreadakis ◽  
G. H. Kristensen ◽  
A. Papadopoulos ◽  
C. Oikonomopoulos
Keyword(s):  
Biological Treatment ◽  
Treatment Plant ◽  
Cost Effective ◽  
Primary Treatment ◽  
Effective Control ◽  
Two Stage ◽  
Effluent Quality ◽  
Filamentous Microorganisms ◽  
Sludge Settling ◽  
The City

The wastewater from the city of Thessaloniki is discharged without treatment to the nearby inner part of the Thessaloniki Gulf. The existing, since 1989, treatment plant offers only primary treatment and did not operate since the expected effluent quality is not suitable for safe disposal to the available recipients. Upgrading of the plant for advanced biological treatment, including seasonal nitrogen removal, is due from 1995. In the mean time, after minor modifications completed in February 1992, the existing plant was put into operation as a two-stage chemical-biological treatment plant for 40 000 m3 d−1, which corresponds to about 35% of the total sewage flow. The operational results obtained during the two years operation period are presented and evaluated. All sewage and sludge treatment units of the plant perform better than expected, with the exception of the poor sludge settling characteristics, due to severe and persistent bulking caused by excessive growth of filamentous microorganisms, particularly M. Parvicella. Effective control of the bulking problem could lead to more cost-effective operation and increased influent flows.

Sign in / Sign up

Export Citation Format

Share Document