Optimizing picking operations in a distribution center of the large-scale retail trade

2021 ◽  
Author(s):  
E Bottani ◽  
B Franchi
Keyword(s):  
Large Scale ◽  
Retail Trade ◽  
Distribution Center

Development of Composite Indicators of Cyclical Response in Business Surveys

2021 ◽  
Vol 28 (2) ◽  
pp. 24-41
Author(s):  
L. A. Kitrar ◽  
T. M. Lipkind
Keyword(s):  
Large Scale ◽  
Integrated Approach ◽  
Early Response ◽  
Business Environment ◽  
Economic Behavior ◽  
Retail Trade ◽  
Composite Indicators ◽  
Business Activity ◽  
Short Term ◽  
Current Output

The article proposes a new set of composite indicators-predictors in business tendency surveys, which allow identifying early information signals of a cyclical nature in the economic behavior of business agents. The main criterion for the efficiency of such indicators is their sensitivity to a cyclical pattern and changes in the dynamics of statistical referents. Property such as a statistically significant lead in time series or earlier publication allows them to be combined into indicators of early response. The composite Business Activity Indicator (BAI) in the basic sectors of the Russian economy is calculated by the authors for the first time based on the results of regular (monthly and quarterly) business surveys of Rosstat for 1998–2020 with a large-scale coverage of sampling units. In 2020, the number of survey respondents averaged about 20,000 organizations of all sizes. The index reflects the «common» profile in the dynamics of short-term fluctuations of the key parameters of the economic environment, which consists of the «balances of opinions» of respondents to the questions unified for all sectoral surveys and connected with the reference quantitative statistics with cross-correlation coefficients that are statistically significantly different from zero, with a lead at least one quarter. This is its main difference from the well-known indices of economic sentiment and entrepreneurial confidence. The main components of the BAI are the new composite indices of real demand, current output, real employment, total profits and economic situation. They aggregate the relevant «order» statistics for the basic sectors of the national economy, including the main kinds of industrial activities, retail trade, construction, and services.The article provides a methodological substantiation and an extended procedure for identifying the BAI components; their composition is formed for the entire set of retrospective results of business tendency monitoring in Russia. A new Aggregate Economic Vulnerability Indicator with a counterdirectional profile and varying degrees of symmetry of its dynamics relative to the short-term movement of the BAI is being introduced as the main limitation of business activity. Proactive monitoring of emerging vulnerabilities in the business environment is necessary to warn their large-scale accumulation, prevent the risks of economic downturns and ensure the highest possible macroeconomic stability. This integrated approach makes it possible to determine the novelty of the proposed measurements of short-term cyclical fluctuations in economic development.

Cultural Interaction Patterns in the Bronze Age: Ritual Bronze Artifacts from Korea and Japan

2019 ◽  
Vol 47 (3) ◽  
pp. 68-73
Author(s):  
A. L. Nesterkina ◽  
E. A. Solovieva ◽  
I. S. Gnezdilova
Keyword(s):  
Social Status ◽  
Bronze Age ◽  
Large Scale ◽  
Distribution Center ◽  
Interaction Patterns ◽  
Cultural Interaction ◽  
Complex Construction ◽  
Korean Type ◽  
High Social Status ◽  
The Bronze Age

This study focuses on ritual bronze items that are very informative for reconstructing cultural ties and migrations between Korea and Japan in 400 BC to 300 AD. Their large-scale introduction to Korea is related to the culture of Korean-type daggers, whose distribution center was located in northwestern Korea. We give a detailed description of Bronze Age artifacts, including weapons and ritual items from that area. They occur mostly in single burials with a complex construction, possibly attesting to high social status. In Japan, Korean-type artifacts fi rst appear in northern Kyushu during the Yayoi age, in burials with wooden coffi ns and urns. The analysis of molds for casting narrow-bladed daggers, socketed spearheads, and picks suggests that Korean-type items spread from northern Kyushu. Late Yayoi ritual bronze artifacts include mostly mirrors of the Han type, evidently indicating migrations from the mainland.

scholarly journals Technologies for Distributed Generation: key performance factors for industrial application

2018 ◽  
pp. 80-87 ◽  
Author(s):  
G. G. Nalbandyan ◽  
S. S. Zholnerchik
Keyword(s):  
Distributed Generation ◽  
Electricity Market ◽  
Smart Grids ◽  
Large Scale ◽  
High Efficiency ◽  
High Reliability ◽  
Low Cost ◽  
Retail Trade ◽  
Economic Effects ◽  
The Cost

The reduction in the cost of technologies for distributed generation involves an increasing decentralization of power generation and large-scale development of distributed sources around the world. This trend is a key change in both the characteristics of electricity consumption: it is becoming increasingly flexible and mobile, and the patterns of consumer behavior in the electricity market. Electricity consumers are becoming at the same time its suppliers and require revision of traditional regulation standards of the electricity market. The purpose of the article is to assess the influence of distributed generation on the economy of both enterprises and the country as a whole. To identify the effects of the introduction of distributed generation technologies, the method of case study analysis is used. The empirical analysis was carried out on the basis of twelve Russian companies that use their own energy sources. The selected companies belong to the following industries: industrial production, housing and communal services, retail trade, construction, agriculture. Technological and economic effects are revealed. Technological ones include: improving consumer reliability, energy security, involving local energy resources, optimizing load management and redundancy, providing the flexibility of smart grids (in terms of generation), reducing the load on the environment, including CO2 emissions. Economic effects: optimization of the load schedule, reduction of losses in the process of transmission/distribution of energy, expansion of cogeneration, etc., providing the consumer with the electricity of a given quality, saving losses in networks, reducing the cost of energy. The identified effects of the introduction of distributed generation technologies make it possible to highlight the advantages of regeneration facilities: high efficiency and the possibility of cogeneration and trigeneration, individual maneuvering capacity loading, high reliability of equipment, low cost of transportation of electricity, fuel usage of the by-products and the main production waste. In conclusion, recommendations are formulated on a set of measures for the development of industrial distributed generation in Russia at the Federal level.

Measuring coherence of performance measurement indicators in complex and changing environments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sebastiano Di Luozzo ◽  
Fabrizia Del Beato ◽  
Massimiliano M. Maria Schiraldi
Keyword(s):  
Performance Measurement ◽  
Large Scale ◽  
Essential Element ◽  
Retail Trade ◽  
Organizational Changes ◽  
Content Type ◽  
Dynamic Framework ◽  
Changing Environments ◽  
Operational Level ◽  
New Research

PurposeThis paper discusses and integrates the concept of complexity in the performance measurement and management (PMM) theory by providing a comprehensive framework to design and evaluate the overall coherence alignment of an indicators hierarchy in unstable and changing environment.Design/methodology/approachAn original, comprehensive and dynamic framework has been proposed and then applied on a sample case of a large-scale retail trade (LSRT) company, starting from relevant frameworks and criteria in the scientific literature.FindingsThis research shows that organizational changes may significantly impact the coherence alignment of an organization's indicators hierarchy. In addition, it finds that even though the alignment at the operational level is obtained, its effectiveness should be evaluated in relation to the organization's strategic orientation. Indeed, without assessing the strategic alignment of an indicators system, an aligned hierarchy at the operational level could lead to ineffective results.Research limitations/implicationsThis paper focuses on the topic of measuring the coherence inside an indicators hierarchy, which seems not to be addressed in the literature. Thus, it opens a new research stream, integrating the studies on performance indicators with an essential element that often causes flawed performance measures in organizations.Practical implicationsOrganizations could adopt this framework to design effective PMM systems and maintain them in light of the organizational changes.Originality/valueThis study introduces different metrics to evaluate the coherence and alignment of an indicators system, being one of the few research studies to address this topic in the context of complex and changing environments.

scholarly journals Risk assessment in the recovery of food for social solidarity purposes: preliminary data

2016 ◽  
Vol 5 (4) ◽  
Author(s):  
Vesna Milicevic ◽  
Giampaolo Colavita ◽  
Marta Castrica ◽  
Sabrina Ratti ◽  
Antonella Baldi ◽  
...  
Keyword(s):  
Large Scale ◽  
Frozen Storage ◽  
Retail Trade ◽  
Social Solidarity ◽  
Charitable Organizations ◽  
Food Industries ◽  
E Coli ◽  
Food Management ◽  
Microbiological Parameters ◽  
Charitable Activities

The most recent study, conducted by Politecnico of Milan, on food surplus management in Italy, entitled <em>Surplus Food Management Against Food Waste</em>, shows that in the Italian food supply chain, the food surplus is around to 5.5 million tons/year, and the amount of food wasted is around to 5.1 million tons/year. During 2015, the charitable organizations (COs) belonging to Italian Food Bank Network, active in recovering and distributing food for social solidarity’s purposes, reused 381.345 tons of food from 2.292 donors. The main supplying sources of the Banco Alimentare Network are: food industries, organized large-scale retail trade and collective catering service. The aim of this study was to analyze several aspects of the food surplus recovery thanks to the collaboration with the Fondazione Banco Alimentare Onlus (FBAO) and Caritas Italiana. In particular, two main features were analyzed in the food recovery chain: i) the microbiological profiles of specific food categories recovered from catering service with the aim to evaluate their conformity in relation to food safety and process criteria. For this purpose 11 samples were analyzed in four different moments: -­‐ T0: same day of the collection; -­‐ T1: after four hours of storage at 4°C; -­‐ T2: 24 hours from the collection (storage at 4°C); -­‐ T3: after four days at frozen storage (-18°C). For all samples several were investigated microbiological parameters: enumeration of <em>Mesophilic aerobic bacteria</em> (AFNOR 3M 01/1-09/89), enumeration of <em>Enterobacteriaceae</em> (AFNOR 3M 01/06-09/97), enumeration of <em>E. coli</em> (AFNOR 3M 01/08-06/01), enumeration of coagulase-positive <em>Staphylococci</em> AFNOR 3M 01/ 9-04/03 A), enumeration of <em>Bacillus cereus</em> (UNI EN ISO 7932:2005), research of <em>Salmonella</em> spp. (UNI EN ISO 6579 (2008b) and research of <em>Listeria monocytogenes</em> (AFNOR BRD 07/4-09/98 (AFNOR, 2010a)). Furthermore, ii) the volunteer’s knowledge on the correct hygienic procedures during the recovery, were evaluated by the 71 questionnaires with the aim to prevent foodborne diseases. The results show that the recovery of surplus from catering service and their reuse at COs should be planned with correct procedures, and the volunteer’s knowledge on the hygienic aspects appear to be a critical point. The recovery and the charitable activities require an appropriate assessment and careful risk analysis, in order to manage the complexity of no profit organization.

A Decision-Making Model for Distribution Center Location during Earthquake Responses

2012 ◽  
Vol 629 ◽  
pp. 808-814
Author(s):  
Wei Dong Tian ◽  
Hai Qiu Jiang ◽  
Hong Juan Zhou ◽  
Dan Guo ◽  
Wen Bo Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Distribution Center ◽  
The Other ◽  
Yushu Earthquake ◽  
Earthquake Disaster ◽  
Center Location ◽  
Location Methods ◽  
Decision Making Model ◽  
Distribution Center Location

Different from the other distribution center location methods, there are new characteristics in distribution center location during earthquake disaster responses. In this paper, we investigate the factors impacting the location of distribution center during earthquake responses, and propose a decision-making model based on improved AHP framework for this issue. The improved AHP is extended to automatically calculate large scale judgment matrices by the crosstie model. This decision-making model was successfully applied in the simulation case of Yushu earthquake responses in 2010. The results show that the proposed decision-making model is reasonable.

scholarly journals Hybrid Metaheuristic-Based Spatial Modeling and Analysis of Logistics Distribution Center

2021 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Maryam Khairunissa ◽  
Hyunsoo Lee
Keyword(s):  
Large Scale ◽  
Mathematical Problem ◽  
Distribution Center ◽  
Geographical Information ◽  
Location Analysis ◽  
Logistic Distribution ◽  
Distribution Centers ◽  
Accurate Analysis ◽  
Logistics Distribution ◽  
Hybrid Metaheuristic

The location analysis of logistics distribution centers is one of the most critical issues in large-scale supply chains. While a number of algorithms and applications have been provided for this end, comparatively fewer investigations have been made into the integration of geographical information. This study proposes logistic distribution center location analysis that considers current geographic and embedded information gathered from a geographic information system (GIS). After reviewing the GIS, the decision variables and parameters are estimated using spatial analysis. These variables and parameters are utilized during mathematical problem-based analysis stage. While a number of existing algorithms have been proposed, this study applies a hybrid metaheuristic algorithm integrating particle swarm optimization (PSO) and genetic algorithm (GA). Using the proposed method, a more realistic mathematical model is established and solved for accurate analysis of logistics performance. To demonstrate the effectiveness of the proposed method, Korea Post distribution centers were considered in South Korea. Through tests with several real-world scenarios, it is proven experimentally that the proposed solution is more effective than existing PSO variations.

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