Information technology for quantitative assessment of changes in a long-term IT project

The object of study is the management process of an Automated Sorting Conveyor (ASC). Logistics companies utilize a network of intermediary and final Parcel Sorting Centers (PSC) for mail delivery. To sort parcels, PSCs are equipped with ASC. A major drawback of ASC at intermediary PSCs is the limitations of their decision-making models. This deficiency is associated with the fact that parcel sorting is conducted without joint consideration of their weight and dimensions. This may lead to the inefficient use of cargo space within truck bodies during loading, as well as the risk of damage to parcels when they are placed one on top of another. A logic-algebraic decision-making model based on the logic of finite predicates has been developed to manage the ASC with a specified parcel sorting logic. The created model enables parcel classification according to parameters of weight and dimensions, defined for each loading door of PSC terminals. To realize the given logic of parcel sorting, criteria are defined, which are implemented in the form of a system of predicates. The implemented sorting logic allows to provide two variants of compact loading of lorries with observance of the condition of parcel integrity preservation. The first option is a sequential loading of parcels, starting with the heaviest and bulkiest and ending with the lightest and smallest. The second option is the simultaneous loading of trucks at all doors of the terminal with parcels of the same weight categories. The developed logic-algebraic decision-making model can be employed in ASC of various purposes to sort transported goods according to their weight and dimensions.

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Publication Details

Journal
Avtomatizirovannye sistemy upravleniâ i pribory avtomatiki.
Published
2025-05-23
DOI
https://doi.org/10.30837/0135-1710.2025.184.005
Primary Topic
Information Technology Governance and Strategy
Type
article
Field-Weighted Citation Impact
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article

Information technology for quantitative assessment of changes in a long-term IT project

Nataliya Vasiltcova, А. А. Попова
Avtomatizirovannye sistemy upravleniâ i pribory avtomatiki.
Information Technology Governance and Strategy
article

Information technology for quantitative assessment of changes in a long-term IT project

Nataliya Vasiltcova, А. А. Попова
article en

Abstract

The object of study is the management process of an Automated Sorting Conveyor (ASC). Logistics companies utilize a network of intermediary and final Parcel Sorting Centers (PSC) for mail delivery. To sort parcels, PSCs are equipped with ASC. A major drawback of ASC at intermediary PSCs is the limitations of their decision-making models. This deficiency is associated with the fact that parcel sorting is conducted without joint consideration of their weight and dimensions. This may lead to the inefficient use of cargo space within truck bodies during loading, as well as the risk of damage to parcels when they are placed one on top of another. A logic-algebraic decision-making model based on the logic of finite predicates has been developed to manage the ASC with a specified parcel sorting logic. The created model enables parcel classification according to parameters of weight and dimensions, defined for each loading door of PSC terminals. To realize the given logic of parcel sorting, criteria are defined, which are implemented in the form of a system of predicates. The implemented sorting logic allows to provide two variants of compact loading of lorries with observance of the condition of parcel integrity preservation. The first option is a sequential loading of parcels, starting with the heaviest and bulkiest and ending with the lightest and smallest. The second option is the simultaneous loading of trucks at all doors of the terminal with parcels of the same weight categories. The developed logic-algebraic decision-making model can be employed in ASC of various purposes to sort transported goods according to their weight and dimensions.

Avtomatizirovannye sistemy upravleniâ i pribory avtomatiki.(184)
Bio-Medical Science (South Korea) (KR), Human Growth Foundation (US)
Openalex Percentile: Top 79%
Information Technology Governance and Strategy
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