scholarly journals Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1833 ◽  
Author(s):  
Tamás Bányai
Keyword(s):  
Energy Efficiency ◽  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Real Time Scheduling ◽  
Improve Energy Efficiency ◽  
Increase Energy Efficiency ◽  
Last Mile ◽  
Time Scheduling ◽  
Last Mile Delivery

Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.

A Strategy for Managing Complexity of the Global Market and Prototype Real-Time Scheduler for LEGO Supply Chain

2013 ◽  
Vol 1 (2) ◽  
pp. 28-39 ◽  
Author(s):  
Bjorn Madsen ◽  
George Rzevski ◽  
Petr Skobelev ◽  
Alexander Tsarev
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Service Level ◽  
Global Market ◽  
Prototype System ◽  
Agent Platform ◽  
Real Time Scheduling ◽  
Time Scheduling ◽  
Multi Agent ◽  
Managing Complexity

The paper describes main features of a strategy for managing complexity of the global market and real-time scheduling multi-agent system designed for the LEGO Company. The design is based on Multi-Agent Technology Group (MATech) own strategy blueprint and multi-agent platform, which provide real-time adaptive event-driven scheduling to replenish products to LEGO Branded Retail stores. The prototype system has been used to schedule 20 US-based LEGO retail outlets for a yearlong trial period and has achieved the following results: • Reduction of lost sale from 40% to 16%; • Increase in service level from 66% to 86%; • Increase in profitability 56% to 81%. The results show a considerable potential value for full scale LEGO supply chain multi-agent solution which would be able to dynamically and adaptively re-schedule deliveries in real time.

scholarly journals Energy-Efficient Task Partitioning for Real-Time Scheduling on Multi-Core Platforms

Computers ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Manal A. El Sayed ◽  
El Sayed M. Saad ◽  
Rasha F. Aly ◽  
Shahira M. Habashy
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Bin Packing ◽  
Shared Resources ◽  
Energy Aware ◽  
Task Partitioning ◽  
Worst Case ◽  
Real Time Scheduling ◽  
Static Partitioning ◽  
Time Scheduling

Multi-core processors have become widespread computing engines for recent embedded real-time systems. Efficient task partitioning plays a significant role in real-time computing for achieving higher performance alongside sustaining system correctness and predictability and meeting all hard deadlines. This paper deals with the problem of energy-aware static partitioning of periodic, dependent real-time tasks on a homogenous multi-core platform. Concurrent access of the tasks to shared resources by multiple tasks running on different cores induced a higher blocking time, which increases the worst-case execution time (WCET) of tasks and can cause missing the hard deadlines, consequently resulting in system failure. The proposed blocking-aware-based partitioning (BABP) algorithm aims to reduce the overall energy consumption while avoiding deadline violations. Compared to existing partitioning strategies, the proposed technique achieves more energy-saving. A series of experiments test the capabilities of the suggested algorithm compared to popular heuristics partitioning algorithms. A comparison was made between the most used bin-packing algorithms and the proposed algorithm in terms of energy consumption and system schedulability. Experimental results demonstrate that the designed algorithm outperforms the Worst Fit Decreasing (WFD), Best Fit Decreasing (BFD), and Similarity-Based Partitioning (SBP) algorithms of bin-packing algorithms, reduces the energy consumption of the overall system, and improves schedulability.

scholarly journals Fault-Tolerant Energy-Aware Task Scheduling on Multiprocessor System for Fixed-Priority Real-Time Tasks

2019 ◽  
Vol 9 (1) ◽  
pp. 2269-2275 ◽  
Keyword(s):  
Energy Efficiency ◽  
Fault Tolerance ◽  
Real Time ◽  
Task Scheduling ◽  
Fault Tolerant ◽  
Multiprocessor System ◽  
Energy Aware ◽  
Fixed Priority ◽  
Real Time Scheduling ◽  
Time Scheduling

Energy-aware real-time scheduling is gaining attention in recent years owing to environmental concerns and applications in numerous fields. System reliability also gets affected adversely with increasing energy dissipations posing serious challenges before the researchers. Keeping these in view, in recent times researchers have diverted to combining issues of fault-tolerance and energy efficiency. In literature, DVFS and DPM, most commonly used techniques for power management in task scheduling, are often combined with Primary/Backup technique to achieve fault tolerance against transient and permanent faults. Optimal algorithms, Earliest deadline first (EDF) and Rate-Monotonic (RM), meant for scheduling dynamic and fixed priority tasks respectively, have mainly been analyzed using a dual-processor approach for fault-tolerance and energy efficiency. In this paper, to handle higher workload of fixed-priority real-time tasks, energy-aware fault-tolerant scheduling algorithms are proposed for multiprocessor systems with balanced and unbalanced number of main and auxiliary processors. Simulations over extensive task-sets indicate that balanced approach is more energy-efficient than the unbalanced one.

IOT and Industry 4.0 – Gateway towards improving Energy Efficiency

2017 ◽  
Vol 7 (9) ◽  
pp. 58
Author(s):  
Jait Purohit
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Real Time ◽  
Energy Management ◽  
Manufacturing Industry ◽  
Management Practices ◽  
Data Gathering ◽  
Time Data ◽  
Improve Energy Efficiency ◽  
Day To Day Operations

Energy efficiency (EE) has become an important benchmark in manufacturing industry due the increasing concerns about climate change and tightening of environmental regulations. However, most manufacturing and production industries today are only able to monitor aggregated energy consumption and lack the real-time visibility of EE on the shop floors. The ability to access energy information and effectively analyse such real-time data to extract key indicators is a crucial factor for successful energy management. While enabling real-time online monitoring of Energy Efficiency, it also applies data gathering analysis to detect abnormal energy consumption patterns and quantify energy efficiency gaps. Through a case study of a microfluidic device manufacturing line, we demonstrate how the application can assist energy managers in embedding best energy management practices in their day-to-day operations and improve Energy Efficiency by eliminating possible energy wastages on manufacturing shop floors.

scholarly journals Energy-Efficient Real-Time Scheduling Algorithm for Fault-Tolerant Autonomous Systems

2018 ◽  
Vol 19 (4) ◽  
pp. 387-400
Author(s):  
Hussein El Ghor ◽  
Julia Hage ◽  
Nizar Hamadeh ◽  
Rafic Hage Chehade
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Integrated Circuit ◽  
Energy Efficient ◽  
Fault Tolerant ◽  
Scheduling Algorithm ◽  
Autonomous Systems ◽  
Scheduling Algorithms ◽  
Real Time Scheduling ◽  
Time Scheduling

For the past decades, we have experienced an aggressive technology scaling due to the tremendous advancements of Integrated Circuit technology. As massive integration continues, the power consumption of the IC chips exponentially increases which further degraded the system reliability. This in turn poses significant challenges to the design of real-time autonomous systems. In this paper, we target the problem of designing advanced real-time scheduling algorithms that are subject to timing, energy consumption and fault-tolerant design constraints. To this end, we first investigated the problem of developing scheduling techniques for uniprocessor real-time systems that minimizes energy consumption while still tolerating up to k transient faults to preserve the system's reliability. Two scheduling algorithms are proposed: the first scheduler is an extension of an optimal fault-free energy-efficient scheduling algorithm, named ES-DVFS. The second algorithm aims to enhance the energy saving by reserving adequate slack time for recovery when faults strike. We derive a necessary and sufficient condition that must be efficiently checked for the time and energy feasibility of aperiodic jobs in the presence of failures. Later, we formally prove that the proposed algorithm is optimal for a k-fault-tolerant model. Our simulation results demonstrate that the proposed schedulers can efficiently improve energy savings when compared with previous works.

scholarly journals Flow Network-Based Real-Time Scheduling for Reducing Static Energy Consumption on Multiprocessors

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 1330-1344
Author(s):  
Joohyung Sun ◽  
Hyeonjoong Cho ◽  
Arvind Easwaran ◽  
Ju-Derk Park ◽  
Byeong-Cheol Choi
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Flow Network ◽  
Real Time Scheduling ◽  
Time Scheduling ◽  
Static Energy

scholarly journals State-of-the-Art Methods to Improve Energy Efficiency of Ships

2021 ◽  
Vol 9 (4) ◽  
pp. 447
Author(s):  
Johannes Hüffmeier ◽  
Mathias Johanson
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
Driving Forces ◽  
Behavioural Change ◽  
Efficient Solutions ◽  
Improve Energy Efficiency ◽  
Increase Energy Efficiency ◽  
User Interests ◽  
Cost Efficient

Generating energy efficiency through behavioural change requires not only understanding and empathy with user interests and needs but also the fostering of energy saving awareness, a technique and framework that supports operators and ship owners. There is strong potential to make use of different technical solutions to increase energy efficiency, but many cost-efficient solutions relate to carrot-and-stick incentives for operators to minimise energy consumption. These incentives range from voyage planning with weather routing eco-driving bonus, to torque limitations and changes in company policies, all of which demonstrate that the operators’ on-board importance for the energy consumption has been identified. Data collection will allow operators to make better decisions in the lifecycle of the ship from knowledge-driven design to operation, redesign and lifetime extension. Various systems are available for data acquisition, storage and analysis, some of which are delivered by well-known marine suppliers while others are stand-alone systems. The lack of standardization for data capture, transmission and analysis is a challenge, so systematic improvement is required in shipping companies to achieve energy savings. When these are achieved, they will be the result of customer requirements, cost pressure or individual driving forces in the companies. The potential energy savings, brought up in interviews, shows up to 35% on specific routes and up to 60% in specific maneuvers. These savings will be made feasible by operators and crews being involved in the decision-making process.

scholarly journals Basics of Informed Logistics in Just-in-Time Production Sequencing and Supply Chain Systems

2014 ◽  
Vol 9 (1) ◽  
pp. 54-64 ◽  
Author(s):  
Gyan Bahadur Thapa
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Just In Time ◽  
Research Issues ◽  
Real Time Scheduling ◽  
Business Operations ◽  
Productivity Factor ◽  
Recent Developments ◽  
Time Scheduling ◽  
Real Time Information

Informed logistics is one of the quite recent and challenging research issues in the domain of supply chain production. The real-time information is taken as one of the productivity factor in all sort of business operations. In this paper, we present a very basic and brief literature of informed logistics together with the recent developments in this area. Observing information flows among logistics functions in production processes, we explain some information technology enablers of informed logistics. We propose an ABSO model for better sharing and operation of information, and finally we indicate the applications of informed logistics in real-time scheduling. DOI: http://dx.doi.org/10.3126/jie.v9i1.10670Journal of the Institute of Engineering, Vol. 9, No. 1, pp. 54–64

Sign in / Sign up

Export Citation Format

Share Document