---
title: Ten SC improvement tools you should know about
description: Ten tools for Supply Chain improvement
image: https://blog.prophetic-technology.com/hubfs/jeshoots-com-VdOO4_HFTWM-unsplash.jpg
---

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# [Ten SC improvement tools you should know about](https://blog.prophetic-technology.com/ten-sc-improvement-tools-you-should-know-about)

Don’t be overwhelmed by so many Supply Chain (SC) improved tools issues around you! Manage them by t...

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Posted by [Dave Food](https://blog.prophetic-technology.com/author/dave-food) on Mar 5, 2020 2:57:45 PM

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Don’t be overwhelmed by so many Supply Chain (**SC)** *improved* *tools* issues around you!  Manage them by *training* your teams on the *competence required* to afford competitive services or products performance. 

Companies are recognising that every employee in the corporation *has to play a part in the upgrading of processes*. For this reason, the improvement of the tool must be somewhat *capable* but straightforward.

**Ten tools for SC improvement**

1.      **Data Collection** – It is one of the essential steps in a program for *quality development*; its purpose is to encompass a far-reaching basis for *decision-making*.

2.      **Pareto Charts** - *They are* of great help when *settling in which order you should deal with problems.* In this chart, *the order* among the different *types of defects* is such that the one with the *most significant frequency* come *first*; you *should group* others, depending on *the kind of contribution*.  With it, the most critical problem is *visible, and focusing on each issue is on one at a time.*

3.      **Cause-and-Effect diagrams** – By using this tool, you can find out its *root-cause.*  We first *depict the type of causes* likely producing the detected problem, and *evaluate* it in *more detail*. Finally, organise a *brainstorming*-results in rational *categories* and put together a cause-and-effect diagram that accurately *demonstrates* the relationships of all the data.

4.      **Stratification** – You use it to deducing *causes of variation*.  Classify the different sources of the data you collected *into subgroups* and point up each group *separately*, for example, by *using a histogram*. If it differs significantly, we might have found *the cause* of the issues, and a chance to go further *to correct* the problem.  Do *not mix up data* of different sources. Through stratification, we can get crucial information for the **SC** development work.

5.      **Cross-Functional Process -** It implicates building teams whose participants are chosen from departments connected in the *value flow* (marketing, development, manufacturing and research.)  When using the *cross-functional* structure, every stage of the process is *mapped out*, as the *time* each stage takes; any steps *not adding value* or that is *unnecessary* in the eyes of the customer, *should be cancelled*.

6.      **Control Charts** - This tool allows us to learn *if* transferabl*e causes of variation* exist to make a manufacturing *process predictable*.  It is an excellent tool to *show the output* of the process graphically in *time order*. Control Charts have two objectives: to identify the assignable *reason of variation* for the process to be *steady* and to instantly *find out* whenever *alteration* has occurred in a *stable process*, resulting in a *modification* of value or the scattering of it.

7.      **Histogram - It is** an exact representation of the distribution of *numerical data*; it *adequately explains only one variable* data. The histogram is *an estimate* of the *probability distribution* of a *continuous variable* and illustrates how a product or process-attribute varies, using a *frequency table* as a starting point.  The histogram generally refers to *relative frequencies* and not numbers of observations.

8.      **Flow Charts –** It is a type of diagram representing a workflow or process; it graphically shows the *inputs,* *actions*, and the *outputs* of a specific system.  The primary purpose of it is to *aid people to comprehend the process*, but not reach if flow charts are either too *uncomplicated* or *too complicated*. 

9.      **Scatter Plots -** is a type of mathematical diagram. The data are presented as a *collection of points*, *each* having the *value of one variable*.  In cases where original conditions *vary continuously*, it might be i*nappropriat*e, or in some cases *not possible* to *stratify*. The variation of the *explanatory variables* gives details of the observed variation of the product characteristic.

By studying the *process parameter,* we can more rapidly prevent the problem of *process variation*; we can *be alert against* illogical links.  Possibly, both the *product characteristic* and the *illustrative parameter* may depend on a *third parameter*.

10.  **Check Sheets are** tools used to *collect data* in *real-time* at the *location generated*. The data captured can be *quantitative* or *qualitative*; checklists *make the* data collection process *simpler* by supplying *pre-written details* of incidents likely to occur and answer questions put by the researcher. They are *useful process-improvement* and *problem-solving* tool. Their power is greatly enhanced when used along with other procedures.

**Conclusion:** some **SC** employees do not have the *essential skills* to carry out problem-solving tasks. Train them in *suitable procedures* for analytically to find out the origin causing a risk situation. Research each tool to find which could be *the best for your enterprise*. 

**Dave Food**

[Prophetic Technology](https://www.prophetic-technology.com/)

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