Business Intelligence & Analytics as a Service

Warehouse logistics

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-----Business Intelligence & Analytics

Business Intelligence

Business Intelligence (BI) incorporates the collection, storage, elaboration and analysis of data, as a form of support for business decisions

From data to information

Analytics

Analytics represent the analytical steps and instruments necessary to conduct BI

KPI, alerting, forecasting models

Warehousing BI

Warehousing BI is a series of activities used to convert data originating from warehouses into information which is useful for business logistics decisions

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The project: areas of analysis

• Productivity represents the area of analysis used to assess the output of warehouse operators and their productivity based upon an hourly basis.

• Principal KPIs are calculated on the basis of the times indicated for each assignment and for the movement and equipping of warehouse operators. The quantities moved by each operator are also indicated.

Productivity

• Quality represents the area of analysis used to monitor the breakage and loss of objects and inefficient operations.

• Principal KPIs are calculated upon measuring the number of objects (packages and items) broken or lost. Other KPIs indicate the number of specific operations considered to be inefficient (eg. quota picking).

Quality

Productivity and Quality

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The project: areas of analysis

• Focus on analysis of goods in stock and space is used to monitor the saturation of space within warehouses.

• Principal KPIs indicate the percentage of saturation, measured in terms of the compartments, spaces and volumes within each warehouse. Other KPIs are used to measure quantities in terms of packages, pallets, loading units and quintals of stock in each warehouse.

Goods in Stock & Space

Goods in Stock & Space

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The project: areas of analysis

• Analysis of orders and documents is generally intended for the assessment of order dispatch times.

• Principal KPIs are used to measure the duration of each phase or phases of the order dispatch process. These times are then compared with estimated times in order to assess time discrepencies and relative punctuality.

Orders

• Analysis of LUs is intended for the monitoring of the loading unit lifecycle.

• Principal KPIs are used to measure the duration of the various phases of the Loading Unit lifecycle, which are then compared with the various estimated times, in order to assess the efficiency and punctuality of the processes.

LU (Loading Unit)

Lifecyle of Orders and LUs

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-----Definition of Analytics

“Analytics is the process of obtaining an optimal or realistic decision based on existing data”

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Summary indicators of the phenomena and dimensions of interest available in the database or calculated by the user.

Traffic light mechanisms which promptly indicate when predetermined or definable safety thresholds are exceeded.

The possibility to simulate scenarios and objectives depending on the conditions selected by the user, for the purpose of optimising the use of resources and supporting business decisions.

Analytics

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Alerting Operator activity monitoring Timely and focused studies in order to understand the reason for anomalies such as: o decline in the quality of an operator’s

work o incorrect displacement of goods in

compartments

What If o How can resources be best distributed in

order to reduce waiting times? o How would productivity levels benefit from

the improved allocation of items in compartments?

o How many units need to be added to the workforce in order to facilitate increased productivity?

o How would the productivity rate vary if movement times were reduced?

o What would be the impact of a reduction in resources in terms of hourly productivity?

o What advantages would be gained in terms of productivity by optimising and reducing inefficient activities?

o What impact would the reduction or zeroing of inefficient activities have on the number of resources required?

o What advantages would a reduced number of breakages have on the general qualitative index?

o What advantages would the elimination of defects in the checking process have in terms of operator productivity?

Alerting and What If (1/2)

Productivity Quality

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Alerting Assessment of warehouse stock levels Monitoring instances where the maximum times foreseen for each phase are exceeded.

What If Map simulation of goods in each compartment and assessment of relative efficiency based on: o various distribution of goods during

storage/exit phase o optimisation of work and worker

assignments o optimised distribution of resources o forecast of time savings and increase

in productivity subsequent to improved organisation of space

o How would an increase in qualified staff numbers benefit the respect of planned times?

o How would improved operator productivity benefit the punctuality of order dispatches?

o How would more efficient management of LUs benefit the respect of planned times?

o By how much would the punctuality rate increase as a result of compressed waiting times?

Alerting and What If (2/2)

Goods in Stock & Space Orders and LUs

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Virtual Private Network (VPN Connection)

Architecture: focus on client interfacing C

lient

s

Internet

Information is extracted from connected client systems on a daily basis or several times

per day, depending on application requirements and

the volume of data to be transferred. These

operations are carried out using an internet connection

within a virtual private network with a high level of

security.

Data extracted from client systems is deposited into the

Reply “cloud” and is subsequently subjected to

conversion and uploaded to structures suitable to user

reporting and analysis.

SaaS/Cloud Architecture

Database Files

Reply Cloud

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Reply Supply

System provided by Reply • Data Model Structures • Front-End Projects • Alerting systems and What-if

analysis (Analytics)

Personalisation provided by Reply • Procedures for extraction from

client’s remote operating systems

• Procedures for the conversion of extracted data and the population of the data model

Client Systems • Warehouse Operating

Systems

Integration with SaaS/Cloud architecture

Thanks

www.reply.eu